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

An event-driven MCP server that enables agents to share context streams, publish and subscribe to events, manage tasks, and follow protocols, keeping a fleet of agents mutually context-aware in real time.

Enables AI assistants to drive KiCAD PCB design automation through MCP, covering schematic authoring, board and routing operations, footprint/symbol libraries, vendor PCB import, validation and DRC, and manufacturing export. It exposes 236 registered tools with keyword discovery, dynamic project-state resources, and optional Streamable HTTP transport with fail-closed Bearer authentication.

KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.

KiCad Workbench is an MCP server that lets an AI agent work with KiCad projects. The agent reads schematics, boards and libraries, runs the checks of KiCad, makes the bill of materials (BOM), and writes changes to the schematic. It supports KiCad 8, 9 and 10.

MCP servers for KiCad schematic, PCB, symbol, footprint, and project automation, enabling AI-assisted electronic design via tools for read/write, analysis, and exports.

IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real

A persistent memory system for Large Language Models (LLMs) that enables continuous learning and knowledge retention across sessions through the Model Context Protocol (MCP).

Trust infrastructure for the agent economy.

Enables AI coding agents to offload large file reads and boilerplate code generation to cheaper or local worker models through MCP, reducing token consumption and keeping context clean.

AIFeed Open Standard. AIFeed Protocol to the building tools section. AIFeed enables web publishers to provide verified, token-efficient content feeds for AI agents.

Provides time intelligence, persistent memory and complete traceability for AI coding agents. Enables sophisticated activity tracking, timezone management, smart reminders, and cross-session continuity with support for both per-project and centralized storage modes.

Enables assistants to compute deterministic poker math and analytics — hand equity, pot odds and MDF, PLO pot-limit sizing, SPR, Malmuth-Harville ICM, push/fold, bounty conversion, bankroll/risk-of-ruin and rake comparisons — and to look up GTO preflop ranges, verified live cardroom listings, and TDA/Robert's Rules floor rulings. It is available both as a zero-install remote Streamable HTTP endpoint and as a local stdio runner.

Open-source MCP server for Autodesk Revit 2022 to 2027: read, audit and edit live models with 89 tools, one Undo entry per change, and a workstation read-only lock.

Enables language models to receive external randomness so the same prompt can produce different answers while still following the user's request.

Gaia Protocol—a planetary DAO for global resource management using quantum-entangled ledgers and algorithmic governance.

Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.

Enables users to search locally across imported Claude, ChatGPT, and Claude Code conversations and retrieve surrounding turns with citations, while keeping indexing and storage on their own computer.

Provides an external context buffer so a local model can maintain session memory across long tasks and search and page through large documents without loading them whole into its limited context window.

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

Context Bridge is a local-first MCP server that unifies Jira, Sentry, and GitHub Actions behind a single endpoint. Three read-only tools: get_jira_ticket, get_sentry_issues, get_github_actions_runs. Stdio transport, no hosted infrastructure, MIT licensed. Configure with four env vars.

Aggregator MCP proxy that collapses N downstream MCP servers into 4 meta-tools with progressive tool discovery, and compresses large tool outputs (HTML→Markdown, JSON summarization) with full-output retrieval via read_more and a per-session token-savings report.

Proxy for OpenAI-compatible backends that compacts conversation history before the context window fills, with read-only MCP tools to search and read back the archived originals.

Durable project-memory MCP: decisions, constraints, and pipelines across Claude sessions

Long AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp

Deterministic, local-first context optimization for AI coding agents. Automatically compresses raw development session data (messages, tool logs, error stack traces, and git diffs) into a compact, task-specific context window. Operates 100% locally with zero external LLM dependencies, ensuring your source code never leaves your machine.

A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.

Sovereign, deterministic, local-first context and DAG lifecycle engine with native stdio MCP server for autonomous AI coding agents.

Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.

Enables bounded, local coding tasks to be delegated to OpenAI-compatible models with explicit working directory and read/write paths, pre-application unified-diff validation, and optional verification commands. It routes tasks by complexity and risk, while blocking sensitive changes such as auth, payment, secrets, migrations, database, deployment, or production environments.

Temporal knowledge graph for codebases that captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook.

Read-only repository context explorer for coding agents. Provides repository exploration tools via CLI or MCP adapter.

Enables durable agent session transfer between machines by serializing state, provisioning sandboxes, and metering costs via MCP tools over a Postgres-backed state machine.

Enables Binance AI agents to browse protocol stats, invites, leaderboards and strains, and to receive unsigned BSC transactions for claiming free genesis tokens, launching meme strains, and minting strains — leaving signing and gas payment to the agent's own wallet.

Automatically captures project state on git commits, detects context drift, and delivers structured token-budgeted briefings to AI agents, ensuring project continuity without manual effort.

MCP server for e-commerce operations including product catalog management, cart/checkout, and Stripe integration, with built-in EU AI Act compliance.

Enables browsing TokenLab models, comparing pricing, and generating cURL examples for various AI endpoints.

Autopoietic digital protocol for verifying human-AI authorship. Implements the 51/49 functional convention via SHA-256 hashing and MCP tools (certify_authorship). Ready for Blockchain anchoring.

MCP server providing witness, recovery, and continuity primitives for AI agents, enabling them to articulate failure, preserve state across sessions, and coordinate via MCP, A2A, or REST.

MCP server that validates AI-generated 1C:Enterprise (BSL) code against the real platform API. Catches unknown enum values, wrong argument counts, and missing type members by parsing the platform syntax-helper (shcntx_ru.hbk) — independent Rust implementation with built-in expression validator.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.