Top MCP Servers

Packages GDAL‑style geospatial workflows with Python‑native libraries (Rasterio, GeoPandas, PyProj, etc.) and adds AI‑agent‑driven catalog discovery, metadata intelligence, and raster/vector processing backed by epistemic reasoning.

Scalable multi‑language code analysis framework built on Tree‑sitter, operable through a command‑line interface or as an MCP server for AI assistants.

Provides persistent memory, semantic code search, and graph‑based analysis for AI tools through an MCP server.

Enables generation of PlantUML diagrams through a Model Context Protocol (MCP) server, returning embeddable SVG/PNG URLs and optional local file saving.

Provides a local‑first bridge that enables Claude to read, search, and send messages using an existing Slack user session, supporting both stdio/web workflows and a secure hosted HTTP endpoint.

Provides an interactive web‑based interface for testing, debugging, and exploring MCP servers, including support for MCP‑UI and OpenAI Apps SDK widgets, OAuth flows, and multi‑connection management.

Provides a thin bridge that lets the pi CLI discover, describe, and call MCP tools through a single stable `mcporter` proxy command.

Provides a deterministic, plain‑Markdown memory layer that lives inside an Obsidian vault, allowing AI agents and any MCP‑compatible runtimes to read and write preferences, signals, evidence, and audit trails directly as files.

Provides access to the DoiT API, enabling LLMs and other clients to retrieve cloud cost, incident, analytics, and management data for troubleshooting and analysis.

Provides a semantic router that dynamically loads specialized agent personas, domain‑specific skills, and cognitive reasoning implants to fulfill user queries via any MCP‑compatible client.

Transforms database schemas into governed semantic models, enabling AI agents to generate correct SQL and provide a full receipt for every answer, while keeping all data and credentials local and private.

Provides a curated list of Model Context Protocol servers together with ready‑to‑use configuration files, enabling AI assistants to interact with development tools, cloud services, databases, and many other resources.

Provides access to Aiven PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services via Model Context Protocol, enabling LLMs to interact with Aiven resources for full‑stack solutions.

Provides a scalable platform for dynamic tool registration and execution based on API definitions, integrating services like Slack, Notion, Claude.ai, and Cursor.ai, with flexible authentication and comprehensive logging.

Decompiles Java .class files, package names, and JAR archives into readable source code through an MCP‑compatible server.

Enables AI tools to explore and manipulate kintone data through the Model Context Protocol.

Pins third‑party dependencies—Docker base images and GitHub Actions—to immutable digests, ensuring reproducible builds and protecting against supply‑chain attacks.

Enables AI assistants to control iTerm2 terminals via Model Context Protocol, offering session creation, command execution, output retrieval, listing, and termination of terminal instances.

Enables AI tools and agents to interact with Cashfree payment, payouts, and SecureID services through the Model Context Protocol.

Enables AI agents to create, execute, and analyze Conductor workflows through an MCP server that reads a simple JSON configuration.

Provides detailed geolocation information for IPv4 and IPv6 addresses using the IP2Location.io API.

Aggregates web data via Tavily's Search and Crawl APIs, structures the results for LLM-friendly markdown generation.

Enables AI agents to interact with any blockchain via natural language, providing swaps, bridges, gas estimation, staking, lending, and autonomous crypto payments across Ethereum, Arbitrum, Base, Polygon, BSC, Solana and many testnets.

Provides browser automation via a Model Context Protocol server that controls a real Chrome instance, enabling fast, parallel, authenticated interactions for AI agents.

Provides a Model Context Protocol server that lets AI assistants query CKAN open data portals for datasets, organizations, groups, tags, and DataStore tables using natural language, without requiring direct knowledge of CKAN APIs.

Provides AI‑powered real‑time collaborative editing within the WordPress block editor, allowing Claude Code to act as a co‑author alongside human editors.

Provides a policy‑and‑trust layer for MCP tool servers, turning declarative YAML configurations into validated, policy‑enforced MCP tools with built‑in credential brokering and tamper‑evident audit logging.

Provides a universal AI integration layer for Brilliant Directories sites, exposing members, posts, leads, reviews, pages, and many other resources through a Model Context Protocol (MCP) server.

Provides a universal, self‑hosted memory service for AI models, exposing remember, recall, forget and a suite of advanced knowledge‑graph tools via MCP.

Enables AI models and MCP clients to seamlessly interact with Bugzilla instances, offering tools for retrieving bug details, history, comments, and performing write operations such as status updates, assignments, and commenting.

Provides remote access to a self‑hosted ChromaDB instance via MCP, letting Claude and other AI assistants share the same vector memory across desktop, mobile, and code environments.

An all‑in‑one agent harness for Claude Code that auto‑discovers agents, skills, and MCP tools at runtime and routes tasks to the most suitable specialist without requiring configuration files or boilerplate code.