"pre-commit" matching MCP servers:

A secure mathematical computation sandbox that enables LLMs to perform symbolic math operations like algebra, calculus, and equation solving via SymPy. It features low-latency execution through pre-warmed process pools and provides standardized JSON outputs for reliable agent integration.

Speeds up coding agents by predicting and pre-executing upcoming tool calls, then safely returning validated cached results to eliminate wait time.

An MCP server that enables AI assistants to interact with Ansys CFX through PyCFX, supporting natural-language-assisted CFX-Pre, CFX Solver, and CFD-Post workflows for setup, execution, and postprocessing.

A standalone MCP server for agentic ABAP development with 67 tools via ADT REST API, featuring a forced clean ABAP workflow, pre-coding DDIC validation, and four network routing modes.

A foundational project for quickly developing Model Context Protocol servers using the TypeScript SDK and Zod for schema validation. It features pre-implemented examples for tools like a calculator and greeting service, along with templates for managing dynamic resources.

A Model Context Protocol server that integrates Cursor IDE with Bitbucket Cloud, allowing developers to fetch repository information and commit data directly from their Bitbucket workspace.

Enables AI assistants to interact with Interactive Brokers trading accounts to retrieve market data, check positions, and place trades. Includes pre-configured IB Gateway and handles OAuth authentication automatically.

An extended PostgreSQL management and analysis server that provides database professionals with tools for schema management, query optimization, performance monitoring, and health analysis through a collection of specialized functions.

A Model Context Protocol server that allows secure execution of pre-approved commands, enabling AI assistants to safely interact with the user's system.

MCP Server for automated reverse engineering with IDA Pro.

Provides pre-defined prompt templates for AI assistants to generate comprehensive plans for TypeScript projects, API architectures, and GitHub workflows.

Enables MCP-capable agents to author, compile, run, and commit generative music E-- Recipes from a library catalog, completing the full authoring loop.

A TypeScript boilerplate for building Model Context Protocol servers using the Streamable HTTP transport and session management. It serves as a foundational template with pre-configured development tools to help developers quickly build and deploy streamable MCP services.

MCP server that provides a persistent IPython kernel for executing Python code with pre-loaded numpy, pandas, and matplotlib, supporting stateful computation and inline visualizations.

MCP server wrapping local Ollama models for offload from API-priced orchestrators. Nine stdio tools - generation, summarisation, analysis, drafting, code tasks (docstring/test/explain/review/types/refactor-suggest), diff-driven tasks (commit-message/pr-description/changelog/summary/impact), mechanical transforms, and model management (list/pull). Apache-2.0.

A FastMCP server that proxies the Poe.com API, allowing users to query various AI models (including Claude 3.7 Sonnet) and share files with models that support it.

A starter kit for quickly building Model Context Protocol (MCP) servers using the TypeScript SDK. It includes a structured project setup with pre-configured examples for implementing tools, resources, and Zod-based schema validation.

Enables AI coding agents to work inside a live Unreal Editor for Fortnite session: write and compile Verse, place and wire Creative devices, edit Scene Graph entities, manipulate actors and assets, take screenshots, run playtests, and read editor logs via MCP.

A starter template designed to jumpstart the development of Model Context Protocol (MCP) servers using TypeScript. It provides pre-configured examples for creating tools and resources, along with integration guides for MCP clients like Cursor.

Drives a live ArcGIS Pro session from Claude via arcpy, enabling layer listing, dataset description, geoprocessing, and project inspection directly against an open project.