Skip to main content
Glama
91,655 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"SPARQL query language and tools" matching MCP servers:

GET /v1/servers – MCP directory API reference
  • F
    license
    A
    quality
    D
    maintenance
    An MCP server that allows coding agents to look up contextual rules and patterns on demand, providing just-in-time guidance for specific tasks like writing tests or authoring UI.
    2
    8
    -
  • A
    license
    A
    quality
    C
    maintenance
    A comprehensive MCP server providing tools for AI agents to interact with code, including reading symbols, importing modules, replacing text, and sending OS notifications.
    3
    37 npm
    10
    MIT
  • A
    license
    A
    quality
    Not graded
    maintenance
    Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere with tools for reading code blocks, searching/replacing text, and making precise line-based modifications.
    3
    11 npm
    -
  • A
    license
    B
    quality
    A
    maintenance
    Enables AI agents to code and debug Commodore PET software using the VICE emulator, with CLI and MCP tools for session control, screen reading, memory manipulation, and testing.
    44
    1
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.
    13
    113 npm
    24
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.
    3
    6 npm
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.
    10
    2 npm
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.
    4
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Query GPT-5, Claude, Gemini, and Grok simultaneously through one MCP server for multi-model AI perspectives in your coding agents.
    283 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables coding agents to query a locally running Kev decision model through MCP tools, returning calibrated probabilities for typed questions such as yes/no, choice, and score.
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Exposes models available on the gm inference gateway as callable tools, enabling coding agents to query models and list available ones via natural language.
    15 npm
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    A local AI agent system that gives any LLM real access to the filesystem, terminal, and codebase via MCP, usable as a standalone terminal agent or Continue.dev integration in VS Code.
    221 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides token-efficient code retrieval for coding agents by indexing repositories and enabling ranked snippet search, symbol outlines, and surgical line reads.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server exposing hybrid RAG search over SEC 10-K filings and an AI bug-fixing agent as callable tools, enabling MCP clients like Claude Desktop to query financial documents and propose test-verified code fixes through natural language.
    MIT