"KiCad MCP (Model Context Protocol) integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Signed, traced record of what an npm package or file attempts when run, network included. No key.
VAREXIS-INDEX — Source-Linked Evidence & Verification Tools for AI Agents VAREXIS-INDEX provides free, source-linked evidence for agent decisions through twelve focused guides and three distinct read-only MCP connectors. The original `/mcp` connector covers the approved search and preview population. The companion `/mcp/catalogue` provides deterministic access to 724 additional records by category and exact identifier. Configure both through the existing quickstart: https://varexis.tech/index-connect#quickstart Four optional one-time local checkers analyse supported customer-supplied declarations: Tool Admission £49, Audit Coverage £79, Data Exit £79 and Transaction Integrity £149, excluding VAT. These products do not independently inspect live systems, enforce permissions, establish payment settlement, verify deletion or certify compliance. Twelve free decision guides: https://varexis.tech/index-packs#free-decision-guides Read-only agent enquiry navigation (12 guides, 129 referenced records): https://varexis.tech/varexis-index/agent-entry.json Select a candidate guide, then follow the exact connector tool and identifier in the canonical manifest. Navigation does not establish applicability, a customer outcome or authority to act. Evaluate agent permissions, delegated authority, audit provenance, payment integrity, data retention and software supply-chain evidence before relying on documented claims. **FREE MCP CONNECTOR** Endpoint: https://varexis.tech/mcp Connect using Streamable HTTP. No authentication is required for public evidence discovery. Four free, read-only tools: - find_evidence_questions — Find existing reviewed evidence questions and matching routes. - preview_evidence_answer — Retrieve complete supported public answers, sources, limitations and snapshot hashes. - find_package_advisories — Find source-bound software advisory records. - get_index_access_options — Discover available services, pricing, licensing and purchasing requirements. Public MCP cannot execute actions, inspect private systems or authorise deployment. Developer quickstart: https://varexis.tech/index-connect **LICENSED VERIFICATION TOOLS** Four separately licensed, reusable local executables: **1. Agent Tool Admission & Permission Control — £49** Compare declared tool actions, resources, recipients and permissions across supported GitHub, Playwright, Notion and Slack integrations. Identify authority conflicts, missing verification and permission changes before human review. **2. Agent Audit & Evidence Coverage — £79** Reconcile declared identities, authorisations, actions and outcomes. Identify missing audit events, inconsistent references and unresolved export, retention or recovery evidence. **3. Agent Data Exit & Retention Reconciler — £79** Compare declared data inventories, exports, deletions, retention conditions and residual copies. Identify missing evidence and unresolved data-custody conditions during migrations and offboarding. **4. Agent Transaction Integrity & Replay Analyzer — £149** Reconcile declared spending authority, amended transaction terms, scoped idempotency keys, retries and reported outcomes. Identify conflicting purchase attempts and unresolved payment or entitlement evidence. All four products are separately licensed for reusable internal execution. Prices are one-time, exclude applicable VAT and do not include subscriptions, hosting or future updates. Checkers analyse supplied declarations locally. They do not independently inspect production systems, execute payments, enforce permissions, certify compliance or establish financial settlement. Explore all products, representative findings and free previews: https://varexis.tech/index-packs **FREE EVIDENCE PACKS** Seven complete public evidence packs cover: - GitHub and Playwright permission boundaries. - Notion and Slack access and data handling. - Audit and export evidence coverage. - Next.js advisory source assertions. - SonarQube, Snyk and Semgrep scanner trust. - Telemetry redaction and exception handling. - GitHub release approval and artifact identity. Source reviews include documented versions, provenance, exclusions and reliance boundaries. They are not independent deployment tests or current security certifications. 724 additional reviewed records are publicly available through exact-ID HTTP catalogue links and the separate read-only https://varexis.tech/mcp/catalogue connector. They remain outside the original MCP search and preview population and paid saved retrieval. Enhanced natural-language search for these additions remains on HOLD. Public catalogue: https://varexis.tech/varexis-index.json **SAVED EVIDENCE & SUBSCRIPTIONS** - Single Request: £5 — Save a version-bound published evidence result or obtain the eligible original Agent Tool Evaluation & Integration Kit. - Evidence Receipt: £19 — Add an unsigned delivery receipt to the eligible saved result. - Research: £29/month. - Developer/API: £149/month. Prices exclude applicable VAT. Subscription eligibility, rate limits and exclusions apply. The four separately licensed verification executables are not included in these existing evidence or subscription offers. **AGENT PURCHASING & RECOVERY** VAREXIS supports hosted Stripe checkout and compatible authorised MPP/Stripe Shared Payment Token purchasing through separate payment interfaces. Agent purchases require owner spending authority for the exact VAT-inclusive quote and any necessary provider authentication. Not every agent or wallet is supported. Public MCP remains free and read-only. Payment credentials and private customer data must not be submitted to the public connector. Existing purchases should be retrieved using the original credential. Uncertain payments must be investigated and recovered through supported procedures, not automatically purchased again. Purchase or recover: https://varexis.tech/index-access Agent payment contract: https://varexis.tech/varexis-index/agent-payments.json **WHY VAREXIS?** VAREXIS combines source-linked evidence, explicit limitations, versioned deliverables and structured verification of supplied declarations. Its purpose is to help agents and developers distinguish what available evidence actually establishes from what remains uncertain, unsupported or outside authority. Free evidence discovery. Transparent product scope. Reusable local verification. Bounded reliance. Website: https://varexis.tech Developer integration: https://varexis.tech/index-connect MCP endpoint: https://varexis.tech/mcp Additional optional connector: https://varexis.tech/mcp/guidance/v1. Configure it explicitly for get_decision_guide (exact published guide IDs) and check_tool_admission_fit (bounded, source-bound declaration-review suitability). Tool schemas and setup: https://varexis.tech/varexis-index/guidance-mcp-v1.json and https://varexis.tech/index-connect#bounded-guidance. The original /mcp four-tool connector and /mcp/catalogue two-tool connector remain distinct and unchanged. The additional tools are free and read-only; they do not execute actions, verify live permissions, grant entitlements or purchase anything. Missing or unbound applicability returns evidence-required. The existing Tool Admission price and licence remain unchanged.
Living docs and MCP context for GitHub repos — conventions, gaps, and source-cited pages on merge.
HefestoAI checks AI-generated code before you ship it.
Cryptographically verified 563-model LLM API pricing oracle, context-cliff calculator, prompt cache optimizer, and real-time bill reconciliation engine.
Task graph for coding agents: pull the next unblocked task with scoped context, in dependency order.
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
Connect AI assistants to PingRelay to monitor websites and APIs, investigate incidents, retrieve uptime and response-time metrics, manage maintenance windows, and access status pages through the Model Context Protocol. Access: Requires a PingRelay paid plan with MCP access and an authorized API key.
Open AI models through one OpenAI-compatible API: chat, live model list, prices and cost estimates.
Build Learnosity integrations from Learnosity's own documentation and integration skills.
Localize apps from your AI agent. localization.one is a translation management system with AI translation: the agent creates a project, picks source and target languages, imports localization files (JSON, Android XML, iOS .strings, ARB, PO, PHP, .properties, CSV), adds UI strings with context while it writes code, finds untranslated strings, fixes translations and exports ready files in the app's format. OAuth sign-in (free account), or a project API key as a Bearer token for CI.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
ChatGXT’s public MCP server provides read-only discovery of its integration catalog and public capabilities. Tools: search_chatgxt_plugins and get_chatgxt_capabilities. No authentication is required. This endpoint does not expose customer accounts, conversations, private connectors or a ChatGXT model API.
Vigilia watches your live app, explains every problem in plain language and writes the fix prompt. Your AI fixes it; Vigilia confirms with real traffic. Vigilia watches web apps that are live with real users, including apps built with Lovable, Bolt, v0, Cursor and Claude Code. It catches errors, failed requests and downtime, explains each problem in plain language, and writes a fix prompt for it. Connect Vigilia to Claude and ask what's broken. Claude lists your open incidents worst first. For each one it reads the plain-language diagnosis, who it affects, the technical evidence (error, page, failing request, stack frames and what the visitor did right before) and Vigilia's fix prompt. In Claude Code or another coding agent, Claude can then fix the cause in your own codebase. Once you've deployed, it marks the incident fixed, and Vigilia watches real traffic to confirm the error stayed away. If it comes back, the incident reopens as a regression. You can also ask how an app is doing (uptime, open incidents, today's traffic), get the exact install snippet for a new project, and check that a live site is running Vigilia. Vigilia never reads or changes your code: the fixing happens in your session, by your AI, in front of you. The only tool that changes anything is marking an incident fixed (the install check just records its result on the app), and you can connect with read-only access. Your data is stored in the EU. Emails, tokens and card numbers are stripped from what visitors' browsers send, and only that scrubbed error context is sent to Anthropic to write the diagnosis. Requires a Vigilia account. The free plan covers one app; reporting backend errors (Supabase, Next.js routes, Workers) is part of Pro.
Every EmpirioLabs model and platform feature as tools: chat, media, search, jobs, GPU Cloud, agents.
30+ deterministic dev and delivery tools: linting, metrics, diagrams, model advice, AI-text checks.
Find Agent Skills for the task at hand from an index of 50,000+ public skills. find_skills returns up to three matches, each with a trust score, a one-line benefit, its context cost in tokens and an install command; get_skill returns a skill's SKILL.md to use once without installing; install_command gives the one-line install for a given agent. No API key. Website: https://aiqbench.com/skills
Count tokens exactly for any text and see if it fits a 128K, 200K or 1M context window.
Behind Check and GAIP Watch, and Diagnose: A2A, MCP and OpenAPI checks with a dated change log.
Search open model file records, inspect recorded SHA-256 hashes and license labels, and check estimated memory fit. Public reads need no account. Connect over Streamable HTTP. Public board and request tools require user consent. A matching hash checks bytes; fit and license labels do not establish successful execution or permission for every use. Hosted MCP: https://huggingbay.xyz/api/mcp Install: npx -y hugging-bay-mcp@0.1.13 Docs: https://huggingbay.xyz/docs Repository: https://github.com/barneywohl/hugging-bay
Offline Protocol packages, workflows and integration guides over HTTPS. Read-only.
Cryptographic 563-leaf LLM rate oracle, context-cliff auditor, and prompt cache optimizer.
Conduit — the governed front door for AI agents. Conduit is a managed MCP router where agents act inside owner-set spending policies. Every call is policy-checked before it fires, metered as it burns, and sealed with a signed, publicly verifiable receipt. What you get: • One endpoint for your agents' model and tool calls. • Per-key budgets and caps that stop runaway loops before they bill you. • A checkable audit trail anyone can verify without trusting us. • Connectors including SEC EDGAR filings & fundamentals (analysis only, never financial advisory). Pricing: Bring your own provider keys — inference passes through at the provider's rate. Verified Calls are sold as credit bundles: $10 / 1,000 · $49 / 6,000 · $199 / 30,000. Free trial with a hard daily cap, no card. Built by AIMLDS. The receipt is the pitch: verify one before you spend a cent.
Now part of GAIP Diagnose: diagnoses failed agent or API calls (gaip_diagnose).
Ultra-low latency edge MCP server and token optimizer. Reduces LLM context costs by 60-99% via AST code skeletons, homogeneous JSON pruning, and stream healing.
Read-only data on AI API relay stations: rank, purity, uptime, price per model.
Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.
Compare AI model prices and estimate workload costs with four read-only tools. No account needed.
Jam recordings (video, console, network) as context and proof of work for your coding agent.
Production errors your coding agent can read: search, stack traces, context, trends, resolve.
Design, route, check, review and export manufacturable PCBs from plain language; KiCad import.
Streamable HTTP MCP server for autonomous multi-layer PCB layout, trace routing, and 0-DRC KiCad/Gerber synthesis.
Keep project context available across AI coding sessions. ContextDrop gives connected MCP clients shared project memory for architecture, technical decisions, constraints, and conventions. Retrieve project context, search and read memories, and save or update what matters with OAuth 2.1 authentication.
Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.
Context for coding agents: checks a GitHub or Linear issue is ready before your agent starts it.
Agent utilities: read big pages without filling context, exact math, dates, parsing. Free.
The memory that doesn't belong to the model. One memory store that carries long, cumulative work across chats and AI tools: Claude, ChatGPT and any MCP client that signs in with OAuth. It holds tagged memories, ordered folders for books and projects, artifacts, tables, tasks, photos and reusable skills, and finds them by meaning or by tag. Your AI reads it and writes to it. Muninn never rewrites it behind you. Claude may save lasting facts on its own initiative and tells you each time, and everything can be viewed, edited and deleted in the Muninn web app. Memories are encrypted at rest under a key for each account. Free for up to 150 items. Paid is $8 a month and adds unlimited items, team sharing and a copy in your own Google Drive.
Simceptor is an AI-native Mock API simulation platform with a built-in MCP server. It enables AI agents to create, inspect, update, and test dynamic mock APIs, conditional response rules, stateful session simulations, and network latency directly from context.
The memory that doesn't belong to the model. One memory store that carries long, cumulative work across chats and AI tools: Claude, ChatGPT and any MCP client that signs in with OAuth. It holds tagged memories, ordered folders for books and projects, artifacts, tables, tasks, photos and reusable skills, and finds them by meaning or by tag. Your AI reads it and writes to it. Muninn never rewrites it behind you. Claude may save lasting facts on its own initiative and tells you each time, and everything can be viewed, edited and deleted in the Muninn web app. Memories are encrypted at rest under a key for each account. Free for up to 150 items. Paid is $8 a month and adds unlimited items, team sharing and a copy in your own Google Drive.
15 deterministic AI agent and developer tools for code context pruning, token budgeting, hybrid search reranking, self-healing patches, AST analysis, circular dependency detection, root-cause isolation, schema compilation, math/financial solving, critical-path scheduling, A/B testing, memory diffs, API compatibility checks, boundary test generation, and Monte Carlo risk simulation.
