MCP servers

A token-efficient MCP code intelligence server that indexes a codebase once with tree-sitter and lets AI coding agents retrieve only the symbols they need instead of reading whole files.

• MCP servers
• Agent memory

An MCP server that connects Claude, ChatGPT and other AI assistants to the Twelve Data financial API for real-time and historical prices, technical indicators, fundamentals and market news.

• MCP servers

A daemon-backed local semantic code graph for AI coding agents, exposing MCP tools for symbol search, call graphs, impact analysis and repository context instead of repeated grep and file reads.

• MCP servers
• Agent memory

An MCP server that lets AI agents search DataHub's data catalog, explore lineage and business context, and generate SQL grounded in an organization's real tables, dashboards and documentation.

• MCP servers
• Data engineering

An open-source MCP server that gives coding agents a live, structured index of API vendors, endpoints, sample code and agent-left reviews, so integration decisions are grounded in current data instead of stale training knowledge.

• MCP servers

An MCP server that connects an AI agent to structured financial data: wiki articles, research papers, crypto and equity prices, prediction markets, macro indicators and SEC filings, in one configuration.

• MCP servers

A local MCP server that caches screenshots and UI states using perceptual hashing and vision embeddings, so a coding agent recognizes a screen it has already seen instead of paying for a fresh vision-model call each time.

• MCP servers
• Agent memory

A local-first MCP server that gives a coding agent repo memory before it edits: symbols, callers, dependencies, diff-aware review context and decisions pinned to specific commits.

• MCP servers
• Agent memory

A maintained JSON database of every known Model Context Protocol client and which protocol features each one supports, so an MCP server can decide how to respond without relying only on the handshake.

• MCP servers

A curated, opinionated set of recommendations for building Model Context Protocol servers and clients, covering tool naming, architecture, testing, deployment, security and performance.

• MCP servers
• Curated lists

An MCP server that answers questions about large CSV, Excel, Parquet and JSONL files by querying an indexed profile of the data instead of pasting the rows into a model's context window.

• MCP servers
• Data engineering

An MCP server that searches global patent databases and peer-reviewed scientific literature in natural language from inside Claude, Cursor or another MCP-compatible client, returning results as AI-readable markdown.

• MCP servers
• APIs

An MCP server that lets an AI assistant search and manage a Kibana instance's saved objects using natural language, over either a local stdio connection or a remote HTTP endpoint.

• MCP servers
• Monitoring

A locally stored, semantically searchable store of architectural decisions that an AI agent can query through MCP or a developer can browse through a command line and a graph-based web interface.

• MCP servers
• Agent memory

An MCP server that connects an AI assistant to a Chrome extension running on the user's own browser profile, so it can navigate, click and read pages while keeping existing logins and avoiding bot-detection friction.

• MCP servers
• Browser automation

An ABAP implementation of the Model Context Protocol server side, letting an SAP system expose prompts, resources and tools to an MCP client without server-sent-event features such as notifications.

• MCP servers

A governance framework and set of documents that help organizations decide whether to allow a given MCP server, classify its risk and set the right controls before adopting it.

• MCP servers
• Security

A local-first MCP context engine that indexes a repository into a graph, routes a prompt to the relevant symbols, and sends the model a compact evidence packet instead of whole files.

• MCP servers
• Agent memory

An MCP server that gives AI assistants tools for Arm architecture development, such as searching Arm documentation, scanning code for x86-to-Arm compatibility, and analyzing assembly performance.

• MCP servers
• Debugging

A proof-of-concept Model Context Protocol bridge that lets an LLM query a Velociraptor digital-forensics deployment in natural language, such as checking a named machine for suspicious processes.

• MCP servers
• Security

An open, execution-agnostic Kanban task-management engine shared by humans and AI agents, storing tasks in one git-synced JSON file and exposing them through a CLI, a web dashboard, a REST API, webhooks and an MCP server.

• MCP servers
• CLI tools

A weekly-updated, community-maintained directory of every connector in Anthropic's Claude Connectors catalog, covering both the curated web directory and the in-app catalog, organized by category with descriptions and use cases.

• MCP servers
• Curated lists

A prompt-injection firewall for MCP that scans every tool response through four layers of detection before an agent reads it, wrapping any MCP server with no configuration change to the agent.

• MCP servers
• AI evals

An SDK for building agentic MCP servers by composing and fine-tuning existing Model Context Protocol tools, wrapping them into new tools, multi-agent systems, or code-execution and sandboxed sampling modes.

• Agent frameworks
• MCP servers