MCP Servers

GitLab MCP — manage repositories, merge requests, CI/CD pipelines, issues, and GitLab project resources via AI agents.

Checks

Metadata only

Evidence

1 source

Jenkins MCP — trigger builds, query job status, fetch console logs, and manage pipelines on self-hosted Jenkins servers.

Checks

Metadata only

Evidence

1 source

Connect MCP clients to a running JetBrains IDE for code navigation, refactoring, project inspection, and run configurations.

Checks

Metadata only

Evidence

1 source

Reference knowledge-graph memory server for MCP clients.

Checks

Metadata only

Evidence

1 source

OpenAPI MCP — parse OpenAPI/Swagger specs, generate client stubs, validate schemas, and answer endpoint questions from spec files.

Checks

Metadata only

Evidence

1 source

Postman MCP — run collections, inspect environments, manage mock servers, and validate API contracts from Postman workspaces.

Checks

Metadata only

Evidence

1 source

Renovate MCP — inspect dependency update PRs, configure update schedules, and manage package rules across repositories.

Checks

Metadata only

Evidence

1 source

Semgrep MCP — run static analysis rules, detect security bugs, and enforce code patterns using Semgrep's rule engine.

Checks

Metadata only

Evidence

1 source

Snyk MCP — scan projects for vulnerabilities, get fix recommendations, and manage security issues in dependencies and containers.

Checks

Metadata only

Evidence

1 source

Sourcegraph MCP — search code across repositories, run batch changes, and query code intelligence via Sourcegraph's universal code search.

Checks

Metadata only

Evidence

1 source

Vale MCP — lint documentation and prose files with configurable style rules (Google, Microsoft, Write-Good) for technical writing quality.

Checks

Metadata only

Evidence

1 source

VS Code MCP — open files, run commands, access workspace context, and interact with VS Code editor state from AI agents.

Checks

Metadata only

Evidence

1 source

Amazon Bedrock MCP — invoke foundation models (Claude, Llama, Titan, Nova) hosted on AWS Bedrock with guardrails and knowledge bases.

Checks

Metadata only

Evidence

1 source

Anthropic API MCP — access Claude models with extended thinking, tool use, vision, and prompt caching from AI agent workflows.

Checks

Metadata only

Evidence

1 source

Azure OpenAI MCP — access GPT-4o and o-series models hosted on Azure OpenAI Service with enterprise compliance and private networking.

Checks

Metadata only

Evidence

1 source

Cohere MCP — access Command models for generation, reranking documents, embedding text, and NLP classification tasks.

Checks

Metadata only

Evidence

1 source

DeepSeek MCP — chat with DeepSeek AI models including reasoning mode, multi-turn sessions, function calling, and cost tracking.

Checks

Metadata only

Evidence

1 source

Gemini API bridge MCP — access Google Gemini Pro and Flash models through the MCP protocol from any MCP-compatible AI agent.

Checks

Metadata only

Evidence

1 source

Vertex AI MCP — access Gemini, PaLM, and custom-trained models on Google Cloud Vertex AI with model garden and tuning support.

Checks

Metadata only

Evidence

1 source

Groq MCP — access ultra-fast Groq LLM inference for Llama, Mixtral, and Gemma models with sub-100ms response times.

Checks

Metadata only

Evidence

1 source

LangChain MCP adapter — expose LangChain tools, chains, and agents as MCP tools for use with any MCP-compatible AI client.

Checks

Metadata only

Evidence

1 source

Mistral MCP — access Mistral Large, Codestral, and Ministral models for coding, reasoning, and multilingual tasks.

Checks

Metadata only

Evidence

1 source

Ollama MCP bridge — run local Llama, Mistral, Qwen, and other Ollama models through the MCP protocol for offline AI inference.

Checks

Metadata only

Evidence

1 source

OpenAPI schema MCP — token-efficient access to OpenAPI/Swagger API specifications via MCP Resources for AI agents building API integrations.

Checks

Metadata only

Evidence

1 source