"KiCad MCP (Model Context Protocol) integration" matching MCP servers:

Enables creating and editing KiCad projects through natural language, including scaffolding projects, placing schematic symbols, wires and labels, and adding PCB footprints, tracks and nets. It also runs ERC/DRC checks and exports to PDF, SVG, netlist, BOM, STEP, DXF, gerbers and drill files via kicad-cli.

MCP server exposing KiCad PCB Editor functionality via IPC API.

An MCP server that enables AI assistants to analyze schematics, inspect PCBs, trace connections, validate designs, and generate embedded code for KiCad projects.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

keeps the rules, decisions, and proof-of-work an agent needs in front of it

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

Enables users to scan Hugging Face for Apple-MLX models, estimate memory fit and decode speed for their Mac, and get ranked recommendations for a use case, with all agent work running locally.

A system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.

Universal work attestation for autonomous agents. Register any AI agent or machine with persistent cryptographic identity, attest completed work with tamper-evident on-chain records, and query trust scores. The reputation layer for the agent economy. 3 MCP tools over SSE. Settled on Solana.

Enables assistants to read-only explore and analyze Grafana dashboards and data sources, execute queries against Prometheus and Azure Log Analytics, and run guided investigation workflows.

Context+ is a semantic intelligence server that transforms codebases into searchable, hierarchical feature graphs using RAG, Tree-sitter AST, and spectral clustering. It provides tools for deep code discovery, blast radius analysis, and memory graph management for high-accuracy engineering tasks.

Provides access to ancient text corpora via stdio, enabling corpus listing, status checks, searching, and text/metadata retrieval with provenance envelopes.

Provides Chinese cultural and public data as MCP tools, including random classical poems, Chinese holiday and compensatory workday queries with annual summaries, and historical events for any date.

Enables agents to load instruction modules on demand from linked git repos, keeping the always-loaded AGENTS.md slim. It syncs each module's repo before reading and returns the module text with the commit it was read at.

Lets AI coding agents ask a Rails app about itself: 35 read-only tools answer from the schema, models, routes, controllers, views, jobs and conventions, over MCP or the command line, even when the app cannot boot.

Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.

Runs a task through 3 parallel AI models (China or USA preset) and returns concise responses for Claude to synthesize.

Provides a local SQLite-backed code context knowledge base with MCP tools for storing and querying code facts, call graphs, semantic info, evidence, and business mappings, plus versioned snapshot publishing and incremental sync.

Enables AI apps to design real, orderable KiCad boards end to end: schematic capture, LCSC/JLCPCB part search and import, PCB placement and routing, ERC/DRC checking, renders, and JLCPCB-ready Gerber, drill, BOM, and placement files.

Provides tools for file system operations and text generation using OpenAI-compatible models via the Model Context Protocol, supporting both stdio and HTTP transports.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.

Unified MCP orchestration layer that consolidates multiple MCPs into a single interface with semantic tool discovery, code-mode execution, scheduling, and intelligent caching to reduce token usage by 97% and eliminate choice paralysis.

Zero-auth cryptographic notarization and PoE (Proof-of-Existence) layer on the TON Blockchain for AI outputs, smart contract audits, and agreements.

Fulcra is the world's best agent-first data platform, allowing you to easily and securely store your data in a context lake and connect it to any agent, anywhere. Use Fulcra to store personal data, coordinate your work with other agents, and more.

A Model Context Protocol server that provides LLM Agents with a comprehensive toolset for IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

Model Context Protocol server for the NetLoc8 IP geolocation API. Gives AI assistants access to country/city lookup, timezone reconciliation, and IP utilities.

Model Context Protocol (MCP) server for Mexican Electronic Invoicing (CFDI 4.0, Complemento de Pagos 2.0). Provide tools to validate, generate, and explore API specifications for SAT/PAC interoperability.

Model Context Protocol server for Kylas CRM lead operations, enabling lead creation, search/filter, and lookup of users, products, and pipelines.

High-performance Model Context Protocol (MCP) server connecting Claude Code and AI agents to Google Gemini 3.8 Flash, Gemini 3.1 Pro, reasoning effort, and image generation.

A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.

A Model Context Protocol server that provides AI assistants with plain-English access to official Dallas-area public data (weather alerts, school ratings, and 311 service requests) without requiring API keys or logins.

Enables AI agents to search, read, annotate, and manage a local Zotero library via the Model Context Protocol, with full local storage and no cloud dependency.

Enables AI agents to interact with DefiLlama's DeFi data aggregator, providing access to TVL, DEX volumes, protocol statistics, and more via the Model Context Protocol.

Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.

Model Context Protocol server exposing the SCOUTS-AI web search API as a single web_search tool for AI agents. No API key required.

Enables AI assistants to perform privacy-respecting web searches, read URLs, retrieve query suggestions, and inspect search-instance capabilities through the Model Context Protocol.

A Model Context Protocol (MCP) server that provides comprehensive PDF redaction capabilities, including text and image redaction, search, and session-based in-memory operations using FastMCP and pymupdf.

An MCP server that gives AI agents eyes on any e-commerce storefront, enabling scraping, analysis, and comparison through the Model Context Protocol.