MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,961 servers in this category.
Extracts specific data like email addresses from large CSV, JSON, and log files using bounded memory and resumable checkpoints.
Provides independent MCP engines for mathematical calculations, date/time operations, and persistent long-term memory for local LLMs.
Acts as a security proxy for MCP servers by intercepting and blocking unauthorized tool calls, destructive shell commands, and secret exfiltration.
Provides AI coding agents with temporal memory of design decisions, constraints, and code history via MCP.
Provides a testing environment and comparative framework to evaluate how different JSON schema designs affect model tool usage and task completion.
Audits AWS IAM policies for security vulnerabilities, privilege escalation, and hygiene issues using a multi-pass analysis engine.
Records MCP host interactions, including model inputs, tool choices, and MCP operations, into a portable SQLite database for debugging and verification.
Routes tool calls and manages context between LLMs like Claude Code and Cursor and external enterprise tools or local codebases.
Runs conformance and fuzzing tests against MCP servers over stdio or HTTP to ensure specification compliance and resilience against hostile payloads.
Enables Aider to discover and execute tools from local or remote MCP servers directly within the coding loop.
Lets an AI agent perform sandboxed operations on a development VM through a human-approved, typed operation registry.
Automates Wolfram Mathematica computations, generating authentic .nb notebooks, native high-resolution figures, and verified mathematical results.
Debug AI agents using a transparent MCP stdio proxy that records traffic and audits session transcripts for loops, errors, and repeated tool calls.
Allows an AI client to study game code via Ghidra and edit the Engine Atlas reference documentation directly through tools.
Indexes local video libraries into timestamped transcripts and visual scene boundaries for semantic search and grounded Q&A via MCP.
An autonomous AI engineering agent for the terminal that understands repositories, edits code, runs tests, and manages complex development tasks.
Generates verified technical documentation from code with file and line citations for Java, Python, and TypeScript.
Connects AI agents to ROS 2 environments to inspect topics, tune PID loops, stream LiDAR data, and manage robotic fleets through a secure command sandbox.
Performs deterministic security reviews of OpenAPI and Swagger documents against 36 OWASP API Security Top 10 rules.
Scans files and code snippets for credential leaks using 86 rules, entropy detection, and baseline diffing to prevent secrets from entering repositories.
