MCP server
by mcpjam
Access the complete MCP protocol specification with advanced fuzzy search. Quickly find details on protocol, components,
Provides searchable access to the complete MCP specification documentation with fuzzy search capabilities. Query any section of the protocol docs to get detailed information about tools, resources, authorization, transports, and more.
Specification is a community-built MCP server published by mcpjam that provides AI assistants with tools and capabilities via the Model Context Protocol. Access the complete MCP protocol specification with advanced fuzzy search. Quickly find details on protocol, components, It is categorized under developer tools. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
You can install Specification in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Specification is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Specification reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Specification is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Specification reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Specification for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Specification for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Specification is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Specification surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Specification into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Specification surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Specification is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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We turned the Model Context Protocol documentation into an MCP server so that your LLM can get context on the full MCP specs. Query specific sections like "Tools", "Resources", "Authorization", and 20+ others to get the complete documentation for that section.
📚 Complete MCP Specification Access
⚡ Smart Document Processing
# tags)🔧 Developer-Focused Sections
🛠️ Built for MCP Development
Add this server to any MCP-compatible client (Claude Desktop, Cursor, VSCode, Windsurf, etc.):
Claude Desktop Config:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonCursor config:
Chat Settings, Tools / Integrations. Edit mcp.json
{
"mcpServers": {
"mcp-spec": {
"command": "npx",
"args": ["-y", "@mcpjam/mcp-spec@latest"]
}
}
}
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ MCP Client │◄──►│ MCP Spec Server │◄──►│ Specification │
│ (Claude, │ │ │ │ Document │
│ Your App) │ │ - Section Index │ │ (llms-full.md) │
└─────────────────┘ │ - Content Cache │ └─────────────────┘
│ - Search Logic │
└──────────────────┘
Want to improve this server? Here's how:
# 1. Clone the repository
git clone https://github.com/your-org/mcp-spec.git
cd mcp-spec
# 2. Install dependencies
npm install
# 3. Build the project
npm run build
# 4. Start development server
npm run dev
git checkout -b my-featurenpm run build && npm run devNote: This is an unofficial server created to make the MCP specification more accessible. For official MCP resources and documentation, visit modelcontextprotocol.io.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.