GoModel MCP server

Q: How do I add GoModel MCP to Claude Code?

Run `claude mcp add --env 'GOMODEL_MASTER_KEY= ' gomodel -- docker run -i --rm docker.io/enterpilot/gomodel:0.2.3` in your terminal. Add `--scope user` to make it available in every project.

Q: How do I add GoModel MCP to Cursor?

Open `~/.cursor/mcp.json` and add the server under `mcpServers`, using the Cursor config shown in the install section above.

✓ OfficialCommit Nov 13, 2026

enterpilot/gomodel · go · MIT

Aggregates upstream MCP servers and LLM providers behind a single authenticated HTTP endpoint with caching, cost tracking, and observability.

Also known as ENTERPILOT/GoModel

remote Developer Tools

Install GitHub ↗

Stars: 1,320
Tools: —
Downloads, 30 days: —
Latest version: 0.2.3
Last commit: Nov 13, 2026
License: MIT

What is GoModel MCP?

GoModel aggregates upstream MCP servers and LLM providers behind a single authenticated HTTP endpoint with caching, cost tracking, and observability.

Summary generated from the project's README

About GoModel MCP server

GoModel acts as a centralized AI gateway that aggregates various LLM providers and MCP servers behind a single authenticated HTTP endpoint. It is designed for developers and teams who need to manage multiple AI services while maintaining control over costs and reliability. The system supports a wide range of providers including OpenAI, Anthropic, Google Gemini, and Ollama, as well as OpenAI-compatible services. Users can deploy the server via Docker, macOS, Linux, or Windows.

This gateway provides advanced management features such as exact and semantic response caching to reduce repeated costs, alongside detailed cost tracking and usage analytics. It includes tools for setting hard spend limits through budgets and managing request volume via rate limits. Developers can use the dashboard to monitor observability metrics, manage virtual models for load balancing, and implement failover strategies with circuit breakers. The server is compatible with official OpenAI and Anthropic SDKs by adjusting the base URL to point to the local or remote GoModel instance.

What you can do with it

1Consolidate multiple AI servicesA developer can aggregate various MCP servers and LLM providers behind one authenticated endpoint.
2Reduce API expensesYou can use semantic caching to ensure that repeated prompts do not incur additional costs.
3Monitor and limit spendingTeams can set hard spending limits for specific users or keys to prevent budget overruns.

Written from the project's README. Every use case is checked against a quote from it.

How to install GoModel MCP

Formats verified 10 Nov 2026Add to Cursor Add to Goose

Claude CodeCursorVS CodeVS Code CLIClaude DesktopCodexCodex config.tomlGemini CLIGemini settings.json

$ claude mcp add --env 'GOMODEL_MASTER_KEY=<YOUR_GOMODEL_MASTER_KEY>' gomodel -- docker run -i --rm docker.io/enterpilot/gomodel:0.2.3

~/.cursor/mcp.json

{
  "mcpServers": {
    "gomodel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/enterpilot/gomodel:0.2.3"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "<YOUR_GOMODEL_MASTER_KEY>"
      }
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "gomodel": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/enterpilot/gomodel:0.2.3"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "<YOUR_GOMODEL_MASTER_KEY>"
      }
    }
  }
}

$ code --add-mcp '{"name":"gomodel","type":"stdio","command":"docker","args":["run","-i","--rm","docker.io/enterpilot/gomodel:0.2.3"],"env":{"GOMODEL_MASTER_KEY":"<YOUR_GOMODEL_MASTER_KEY>"}}'

claude_desktop_config.json

{
  "mcpServers": {
    "gomodel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/enterpilot/gomodel:0.2.3"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "<YOUR_GOMODEL_MASTER_KEY>"
      }
    }
  }
}

$ codex mcp add gomodel --env 'GOMODEL_MASTER_KEY=<YOUR_GOMODEL_MASTER_KEY>' -- docker run -i --rm docker.io/enterpilot/gomodel:0.2.3

~/.codex/config.toml

[mcp_servers.gomodel]
command = "docker"
args = ["run", "-i", "--rm", "docker.io/enterpilot/gomodel:0.2.3"]

[mcp_servers.gomodel.env]
GOMODEL_MASTER_KEY = "<YOUR_GOMODEL_MASTER_KEY>"

$ gemini mcp add -s user -e 'GOMODEL_MASTER_KEY=<YOUR_GOMODEL_MASTER_KEY>' gomodel docker -- run -i --rm docker.io/enterpilot/gomodel:0.2.3

~/.gemini/settings.json

{
  "mcpServers": {
    "gomodel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/enterpilot/gomodel:0.2.3"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "<YOUR_GOMODEL_MASTER_KEY>"
      }
    }
  }
}

Set 2 environment variables before starting the server (below).Setup guides:Claude Code Cursor VS Code Claude Desktop

Configuration

GOMODEL_MASTER_KEYSecret
Gateway API key clients authenticate with; unset runs the gateway in unsafe (no-auth) mode.
MCP_SERVERS
JSON object of upstream MCP servers to aggregate, e.g. {"github":{"url":"https://api.githubcopilot.com/mcp/","headers":{"Authorization":"Bearer ${GITHUB_PAT}"}}}. Servers can also be declared in config.yaml or the admin dashboard.

Name	Description
GOMODEL_MASTER_KEY	Gateway API key clients authenticate with; unset runs the gateway in unsafe (no-auth) mode.	Secret
MCP_SERVERS	JSON object of upstream MCP servers to aggregate, e.g. {"github":{"url":"https://api.githubcopilot.com/mcp/","headers":{"Authorization":"Bearer ${GITHUB_PAT}"}}}. Servers can also be declared in config.yaml or the admin dashboard.

Automated checks

Ran Nov 12, 2026Full report →

92/100

Not verified yet. A server needs a score of 80, no serious finding, and enough data for us to check. How checks work · What to fix for more points

Show this score in your README

Source repository linked and reachablePass
Open source license (OSI)Pass
Commit or release in the last yearPass
Package name not close to a popular packageNot checked
Remote endpoint uses HTTPSNot checked
Destructive tools are labelledNot checked
No hidden instructions to the modelPass
No critical advisory in the package or its dependenciesNot checked

README

View on GitHub

Quick Start

Step 1: Install and start GoModel

Docker

docker run --rm -p 8080:8080 \
  -v gomodel_data:/app/data \
  enterpilot/gomodel

macOS / Linux

curl -fsSL https://gomodel.enterpilot.io/install.sh | sh
# OPENAI_API_KEY="your-openai-key" # (optional)
gomodel

Windows (PowerShell)

irm https://gomodel.enterpilot.io/install.ps1 | iex
# $env:OPENAI_API_KEY = "your-openai-key" # (optional)
gomodel

ℹ️ Configure GoModel with .env, a config.yaml file, or manage the most important settings directly in the dashboard.

ℹ️ See .env.template for the complete list of environment variables, including all available providers.

Step 2: Open the dashboard and add a provider

http://localhost:8080/admin/dashboard

Step 3: Make an API call

curl http://localhost:8080/v1/responses \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5-chat-latest",
    "input": "Hello!"
  }'

GoModel and official SDKs

GoModel accepts requests in two compatible formats:

OpenAI-compatible at /v1
Anthropic-compatible at /v1/messages

The official SDKs therefore work unchanged. Configure their base URLs as follows:

OpenAI SDK: http://localhost:8080/v1
Anthropic SDK: http://localhost:8080 (the SDK appends /v1/messages)

List of Supported LLM Providers

OpenAI
Anthropic
xAI (Grok)
Google Gemini
Cohere
Vertex AI
DeepSeek
Groq
Fireworks AI
Together AI
Meta (Muse Spark)
OpenRouter
Z.ai
Alibaba Cloud Model Studio (Bailian)
Kilo AI
Eden AI
MiniMax
Mistral AI
Xiaomi MiMo
OpenCode Go
Azure OpenAI
Oracle
Ollama
SGLang
vLLM
llm-d
Amazon Bedrock Runtime and Bedrock Mantle
ChatGPT (the Codex backend) and Claude
GitHub Copilot
ElevenLabs (text-to-speech and speech-to-text)
Jev (TypeSafe System One decision API) and self-hosted Kev, also behind OpenAI's Decisions API
All OpenAI-compatible providers

See the Providers Overview for the full per-provider feature matrix.

Docker Compose

Infrastructure only (Redis, PostgreSQL, MongoDB, Adminer - no image build):

cp .env.template .env
# Add your API keys to .env
docker compose up -d
# or: make infra

Full stack (adds GoModel + Prometheus; builds the app image):

docker compose --profile app up -d
# or: make image

API docs

Gateway Configuration

GoModel resolves configuration in the following order, with each source overriding those to its left:

Good defaults → config.yaml → .env → exported environment variables

See the Configuration reference for the full list of settings.

Features

Caching - exact and semantic response caching, so repeated prompts cost nothing
Cost tracking - per-request cost estimates, usage analytics, and spending breakdowns in the dashboard
Budgets - hard spend limits per user, team, or key
Rate limits - requests, tokens, and concurrency caps per user path, provider, or model
Usage API - clients check their own usage, remaining budget, and rate-limit headroom with the key they already use for inference
Virtual models - aliases and load balancing (round-robin or cost-based) behind stable model names
Session keeping - detect a client session and pin it to one target and provider key, so provider prompt caches stay warm and audit logs read as threads
Failover - automatic rerouting to backup providers, with retries and circuit breakers
Labelling - tag requests from HTTP headers or API keys and break down usage by label
User paths - hierarchical scoping of keys, model access, budgets, usage, and audit logs
Model access control - per-group, per-user, and per-key model allowlists that intersect down the user-path tree
MCP gateway - aggregate your MCP servers behind one authenticated endpoint
Passthrough API - provider-native APIs under /p/{provider}/..., with GoModel auth and tracking
Audio and image APIs - OpenAI-compatible text-to-speech, transcription, and image generation and editing with the same access rules, budgets, and cost tracking as chat
Provider replay state - preserves Gemini thought signatures and Anthropic thinking blocks across turns, APIs, and providers
Guardrails - request and response policies enforced at the gateway
Plugins - one contract for guardrails, response and stream filters, header edits, and routing strategies; built in, compiled in, or loaded from a .so at startup
Workflows - versioned per-request policies that scope cache, budgets, audit logging, guardrail phases, and failover by user path, provider, or model
Provider key rotation - round-robin over multiple API keys to lift per-key rate limits
Observability - Prometheus metrics, OpenTelemetry traces, audit logs, and live request streaming in the dashboard
Playground - try any model or virtual model from the dashboard and inspect the exact request and response JSON

GoModel Pro

GoModel Pro is the commercial build: the same gateway, configuration, and dashboard, with licensed extensions.

Prompt compression - remove repeated and structural context before it reaches the provider, without changing the request shape
Intelligent routing - classify each request as easy or hard, then pick the healthiest and cheapest provider in that tier
OIDC single sign-on - protect the dashboard with your identity provider using Authorization Code flow with PKCE

Roadmap

See the roadmap for GoModel Pro and the upcoming 0.3.0 release.

Featured Sponsors

Goal: $1K/month - ~15% achieved!

If GoModel saves you money or time, become a sponsor or try GoModel Pro.

Community

We are on Discord. Feel free to stop by and tell us what you think about GoModel.

Read full README

GoModel MCP questions

How do I add GoModel MCP to Claude Code?

Run claude mcp add --env 'GOMODEL_MASTER_KEY=<YOUR_GOMODEL_MASTER_KEY>' gomodel -- docker run -i --rm docker.io/enterpilot/gomodel:0.2.3 in your terminal. Add --scope user to make it available in every project.

How do I add GoModel MCP to Cursor?

Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.

Facts

Nov 14, 2026

Stars: 1,320
Downloads, 30 days: —
Latest version: 0.2.3
Last commit: Nov 13, 2026
License: MIT
Transport: remote
Package: docker.io/enterpilot/gomodel:0.2.3

ENTERPILOT ↗

Official publisher

Published by the company that makes the product.

Alternatives

Works with

Claude Code Cursor VS Code Claude Desktop Codex Gemini CLI Windsurf Devin

Badge for your README

Show your HostedMCP checks score. The badge links readers to install instructions for every client.

[![HostedMCP checks](https://api.hostedmcp.org/v1/badge/server/enterpilot/gomodel.svg)](https://hostedmcp.org/servers/enterpilot/gomodel/checks)

Maintainer?

Claim this listing to edit it and add the HostedMCP badge to your README.

Claim listing

Before you install

Servers run with the permissions you give them. Use the narrowest token or database role that does the job.

GoModel MCP server

✓ OfficialCommit Nov 13, 2026

enterpilot/gomodel · go · MIT

Aggregates upstream MCP servers and LLM providers behind a single authenticated HTTP endpoint with caching, cost tracking, and observability.

Also known as ENTERPILOT/GoModel

remote Developer Tools

Install GitHub ↗

Stars: 1,320
Tools: —
Downloads, 30 days: —
Latest version: 0.2.3
Last commit: Nov 13, 2026
License: MIT

What is GoModel MCP?

GoModel aggregates upstream MCP servers and LLM providers behind a single authenticated HTTP endpoint with caching, cost tracking, and observability.

Summary generated from the project's README

About GoModel MCP server

What you can do with it

1Consolidate multiple AI servicesA developer can aggregate various MCP servers and LLM providers behind one authenticated endpoint.
2Reduce API expensesYou can use semantic caching to ensure that repeated prompts do not incur additional costs.
3Monitor and limit spendingTeams can set hard spending limits for specific users or keys to prevent budget overruns.

Written from the project's README. Every use case is checked against a quote from it.

How to install GoModel MCP

Formats verified 10 Nov 2026Add to Cursor Add to Goose

Claude CodeCursorVS CodeVS Code CLIClaude DesktopCodexCodex config.tomlGemini CLIGemini settings.json

$ claude mcp add --env 'GOMODEL_MASTER_KEY=<YOUR_GOMODEL_MASTER_KEY>' gomodel -- docker run -i --rm docker.io/enterpilot/gomodel:0.2.3

~/.cursor/mcp.json

{
  "mcpServers": {
    "gomodel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/enterpilot/gomodel:0.2.3"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "<YOUR_GOMODEL_MASTER_KEY>"
      }
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "gomodel": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/enterpilot/gomodel:0.2.3"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "<YOUR_GOMODEL_MASTER_KEY>"
      }
    }
  }
}

$ code --add-mcp '{"name":"gomodel","type":"stdio","command":"docker","args":["run","-i","--rm","docker.io/enterpilot/gomodel:0.2.3"],"env":{"GOMODEL_MASTER_KEY":"<YOUR_GOMODEL_MASTER_KEY>"}}'

claude_desktop_config.json

{
  "mcpServers": {
    "gomodel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/enterpilot/gomodel:0.2.3"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "<YOUR_GOMODEL_MASTER_KEY>"
      }
    }
  }
}

$ codex mcp add gomodel --env 'GOMODEL_MASTER_KEY=<YOUR_GOMODEL_MASTER_KEY>' -- docker run -i --rm docker.io/enterpilot/gomodel:0.2.3

~/.codex/config.toml

[mcp_servers.gomodel]
command = "docker"
args = ["run", "-i", "--rm", "docker.io/enterpilot/gomodel:0.2.3"]

[mcp_servers.gomodel.env]
GOMODEL_MASTER_KEY = "<YOUR_GOMODEL_MASTER_KEY>"

$ gemini mcp add -s user -e 'GOMODEL_MASTER_KEY=<YOUR_GOMODEL_MASTER_KEY>' gomodel docker -- run -i --rm docker.io/enterpilot/gomodel:0.2.3

~/.gemini/settings.json

{
  "mcpServers": {
    "gomodel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/enterpilot/gomodel:0.2.3"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "<YOUR_GOMODEL_MASTER_KEY>"
      }
    }
  }
}

Set 2 environment variables before starting the server (below).Setup guides:Claude Code Cursor VS Code Claude Desktop

Configuration

GOMODEL_MASTER_KEYSecret
Gateway API key clients authenticate with; unset runs the gateway in unsafe (no-auth) mode.
MCP_SERVERS
JSON object of upstream MCP servers to aggregate, e.g. {"github":{"url":"https://api.githubcopilot.com/mcp/","headers":{"Authorization":"Bearer ${GITHUB_PAT}"}}}. Servers can also be declared in config.yaml or the admin dashboard.

Name	Description
GOMODEL_MASTER_KEY	Gateway API key clients authenticate with; unset runs the gateway in unsafe (no-auth) mode.	Secret
MCP_SERVERS	JSON object of upstream MCP servers to aggregate, e.g. {"github":{"url":"https://api.githubcopilot.com/mcp/","headers":{"Authorization":"Bearer ${GITHUB_PAT}"}}}. Servers can also be declared in config.yaml or the admin dashboard.

Automated checks

Ran Nov 12, 2026Full report →

92/100

Not verified yet. A server needs a score of 80, no serious finding, and enough data for us to check. How checks work · What to fix for more points

Show this score in your README

Source repository linked and reachablePass
Open source license (OSI)Pass
Commit or release in the last yearPass
Package name not close to a popular packageNot checked
Remote endpoint uses HTTPSNot checked
Destructive tools are labelledNot checked
No hidden instructions to the modelPass
No critical advisory in the package or its dependenciesNot checked

README

View on GitHub

Quick Start

Step 1: Install and start GoModel

Docker

docker run --rm -p 8080:8080 \
  -v gomodel_data:/app/data \
  enterpilot/gomodel

macOS / Linux

curl -fsSL https://gomodel.enterpilot.io/install.sh | sh
# OPENAI_API_KEY="your-openai-key" # (optional)
gomodel

Windows (PowerShell)

irm https://gomodel.enterpilot.io/install.ps1 | iex
# $env:OPENAI_API_KEY = "your-openai-key" # (optional)
gomodel

ℹ️ Configure GoModel with .env, a config.yaml file, or manage the most important settings directly in the dashboard.

ℹ️ See .env.template for the complete list of environment variables, including all available providers.

Step 2: Open the dashboard and add a provider

http://localhost:8080/admin/dashboard

Step 3: Make an API call

curl http://localhost:8080/v1/responses \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5-chat-latest",
    "input": "Hello!"
  }'

GoModel and official SDKs

GoModel accepts requests in two compatible formats:

OpenAI-compatible at /v1
Anthropic-compatible at /v1/messages

The official SDKs therefore work unchanged. Configure their base URLs as follows:

OpenAI SDK: http://localhost:8080/v1
Anthropic SDK: http://localhost:8080 (the SDK appends /v1/messages)

List of Supported LLM Providers

OpenAI
Anthropic
xAI (Grok)
Google Gemini
Cohere
Vertex AI
DeepSeek
Groq
Fireworks AI
Together AI
Meta (Muse Spark)
OpenRouter
Z.ai
Alibaba Cloud Model Studio (Bailian)
Kilo AI
Eden AI
MiniMax
Mistral AI
Xiaomi MiMo
OpenCode Go
Azure OpenAI
Oracle
Ollama
SGLang
vLLM
llm-d
Amazon Bedrock Runtime and Bedrock Mantle
ChatGPT (the Codex backend) and Claude
GitHub Copilot
ElevenLabs (text-to-speech and speech-to-text)
Jev (TypeSafe System One decision API) and self-hosted Kev, also behind OpenAI's Decisions API
All OpenAI-compatible providers

See the Providers Overview for the full per-provider feature matrix.

Docker Compose

Infrastructure only (Redis, PostgreSQL, MongoDB, Adminer - no image build):

cp .env.template .env
# Add your API keys to .env
docker compose up -d
# or: make infra

Full stack (adds GoModel + Prometheus; builds the app image):

docker compose --profile app up -d
# or: make image

API docs

Gateway Configuration

GoModel resolves configuration in the following order, with each source overriding those to its left:

Good defaults → config.yaml → .env → exported environment variables

See the Configuration reference for the full list of settings.

Features

Caching - exact and semantic response caching, so repeated prompts cost nothing
Cost tracking - per-request cost estimates, usage analytics, and spending breakdowns in the dashboard
Budgets - hard spend limits per user, team, or key
Rate limits - requests, tokens, and concurrency caps per user path, provider, or model
Usage API - clients check their own usage, remaining budget, and rate-limit headroom with the key they already use for inference
Virtual models - aliases and load balancing (round-robin or cost-based) behind stable model names
Session keeping - detect a client session and pin it to one target and provider key, so provider prompt caches stay warm and audit logs read as threads
Failover - automatic rerouting to backup providers, with retries and circuit breakers
Labelling - tag requests from HTTP headers or API keys and break down usage by label
User paths - hierarchical scoping of keys, model access, budgets, usage, and audit logs
Model access control - per-group, per-user, and per-key model allowlists that intersect down the user-path tree
MCP gateway - aggregate your MCP servers behind one authenticated endpoint
Passthrough API - provider-native APIs under /p/{provider}/..., with GoModel auth and tracking
Audio and image APIs - OpenAI-compatible text-to-speech, transcription, and image generation and editing with the same access rules, budgets, and cost tracking as chat
Provider replay state - preserves Gemini thought signatures and Anthropic thinking blocks across turns, APIs, and providers
Guardrails - request and response policies enforced at the gateway
Plugins - one contract for guardrails, response and stream filters, header edits, and routing strategies; built in, compiled in, or loaded from a .so at startup
Workflows - versioned per-request policies that scope cache, budgets, audit logging, guardrail phases, and failover by user path, provider, or model
Provider key rotation - round-robin over multiple API keys to lift per-key rate limits
Observability - Prometheus metrics, OpenTelemetry traces, audit logs, and live request streaming in the dashboard
Playground - try any model or virtual model from the dashboard and inspect the exact request and response JSON

GoModel Pro

GoModel Pro is the commercial build: the same gateway, configuration, and dashboard, with licensed extensions.

Prompt compression - remove repeated and structural context before it reaches the provider, without changing the request shape
Intelligent routing - classify each request as easy or hard, then pick the healthiest and cheapest provider in that tier
OIDC single sign-on - protect the dashboard with your identity provider using Authorization Code flow with PKCE

Roadmap

See the roadmap for GoModel Pro and the upcoming 0.3.0 release.

Featured Sponsors

Goal: $1K/month - ~15% achieved!

If GoModel saves you money or time, become a sponsor or try GoModel Pro.

Community

We are on Discord. Feel free to stop by and tell us what you think about GoModel.

Read full README

GoModel MCP questions

How do I add GoModel MCP to Claude Code?

How do I add GoModel MCP to Cursor?

Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.

Facts

Nov 14, 2026

Stars: 1,320
Downloads, 30 days: —
Latest version: 0.2.3
Last commit: Nov 13, 2026
License: MIT
Transport: remote
Package: docker.io/enterpilot/gomodel:0.2.3

ENTERPILOT ↗

Official publisher

Published by the company that makes the product.

Alternatives

Works with

Claude Code Cursor VS Code Claude Desktop Codex Gemini CLI Windsurf Devin

Badge for your README

Show your HostedMCP checks score. The badge links readers to install instructions for every client.

[![HostedMCP checks](https://api.hostedmcp.org/v1/badge/server/enterpilot/gomodel.svg)](https://hostedmcp.org/servers/enterpilot/gomodel/checks)

Maintainer?

Claim this listing to edit it and add the HostedMCP badge to your README.

Claim listing

Before you install

Servers run with the permissions you give them. Use the narrowest token or database role that does the job.

GoModel MCP server

What is GoModel MCP?

About GoModel MCP server

What you can do with it

How to install GoModel MCP

Install GoModel MCP in Claude Code

Install GoModel MCP in Cursor

Install GoModel MCP in VS Code

Install GoModel MCP in VS Code CLI

Install GoModel MCP in Claude Desktop

Install GoModel MCP in Codex

Install GoModel MCP in Codex config.toml

Install GoModel MCP in Gemini CLI

Install GoModel MCP in Gemini settings.json

Configuration

Automated checks

README

Quick Start

GoModel and official SDKs

List of Supported LLM Providers

Docker Compose

API docs

Gateway Configuration

Features

GoModel Pro

Roadmap

Featured Sponsors

Community

GoModel MCP questions

GoModel MCP server

What is GoModel MCP?

About GoModel MCP server

What you can do with it

How to install GoModel MCP

Install GoModel MCP in Claude Code

Install GoModel MCP in Cursor

Install GoModel MCP in VS Code

Install GoModel MCP in VS Code CLI

Install GoModel MCP in Claude Desktop

Install GoModel MCP in Codex

Install GoModel MCP in Codex config.toml

Install GoModel MCP in Gemini CLI

Install GoModel MCP in Gemini settings.json

Configuration

Automated checks

README

Quick Start

GoModel and official SDKs

List of Supported LLM Providers

Docker Compose

API docs

Gateway Configuration

Features

GoModel Pro

Roadmap

Featured Sponsors

Community

GoModel MCP questions