MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13.981 servers in dieser Kategorie.
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Lets an AI client access product analytics, feature flags, experiments, dashboards, and error tracking data.
$claude mcp add --transport http mcp-5b028a https://mcp.posthog.com/mcp
Allows AI clients to retrieve account information, run core and realtime reports, and manage property annotations or custom dimensions in Google Analytics.
Query and explore ClickHouse clusters and chDB embedded databases with SQL from an AI client.
$claude mcp add mcp-clickhouse -- uvx mcp-clickhouse
Lets an AI client search and discover Agent Skills from the skills.sh registry to extend agent capabilities.
$claude mcp add --transport http agentskills https://skills-sh.run.mcp.com.ai/mcp
Lets AI coding agents query a prebuilt index of a codebase's graph, git history, tests and decisions instead of grepping files.
$claude mcp add repowise -- uvx repowise
Converts plain-English questions into SQL queries against your database schemas and returns the generated SQL and results.
$claude mcp add queryweaver -- docker run -i --rm docker.io/falkordb/queryweaver:0.0.11Lets an AI client query an indexed codebase for callers, change risk, health scores, tests, ownership, and cited answers.
$claude mcp add --transport http repowise-hosted https://api.repowise.dev/mcp
Enables AI clients to create, validate, visualize, and manage Neo4j graph data models and schemas.
$claude mcp add mcp-neo4j-data-modeling -- uvx mcp-neo4j-data-modelingEnables AI clients to execute Cypher queries, explore graph schemas, and perform data updates within a Neo4j database.
$claude mcp add mcp-neo4j-cypher -- uvx mcp-neo4j-cypher
Integrates AI clients with Perforce version control and P4 DAM to manage files, changelists, workspaces, and digital assets.
$claude mcp add p4mcp-server-aac60c -- docker run -i --rm ghcr.io/perforce/p4mcp-server:2026.4.3126709
Build and deploy MCP servers, clients, and interactive applications using a Pythonic framework.
Provides AI clients with real-time access to NixOS packages, configuration options, Home Manager settings, and Nix ecosystem documentation.
Provides a bi-temporal structural knowledge graph that allows AI coding agents to query codebase relationships, history, and impact analysis locally.
$claude mcp add memtrace-public -- npx -y memtrace
Performs local web searching, crawling, and reranking to provide AI agents with compact, high-value evidence while minimizing token usage.
$claude mcp add tinysearch -- docker run -i --rm docker.io/marcellm01/tinysearch:v0.7.0
Analyzes PCAP capture files for DNS, DHCP, ICMP, TCP, SIP, and file metadata using protocol-specific tools.
$claude mcp add mcpcap -- uvx mcpcap
Enables AI agents to call any API directly using a modular, plugin-based standard for various communication protocols.
Lets AI clients search, summarize, create, and update Jira, Confluence, Bitbucket, Loom, and related Atlassian work in real time.
$claude mcp add --transport http atlassian-mcp-server https://mcp.atlassian.com/v2/mcp
Lets AI coding agents share source-attributed Markdown memory and retrieve project documentation locally.
$claude mcp add docmancer -- uvx docmancer
Lets AI agents log conversation exchanges and recall persistent memory context through MCP tools.
$claude mcp add --transport http synap https://synap-mcp.maximem.ai/mcp
Lets AI agents run Python code against STAAD.Pro models via the OpenSTAAD API to define load cases, extract data, and set properties.
$https://github.com/BentleySystems/openstaad-mcp/releases/download/v1.3.0/openstaad-mcp.mcpb