"MiniMax MCP (Model Context Protocol) GitHub Repository" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Pugi is an AI product team in your chat. Describe a business in a few sentences and Pugi plans, designs, builds and checks a real website, shows a live preview, and puts it live on its own address. Ask for changes in plain words. Pugi also draws four whole logos for a business name with a brand kit, checks any public website or GitHub repository for leaked keys, vulnerable dependencies and risky code, and helps you start from public site templates. Sign in with a Pugi account (OAuth).
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 708 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. 708 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.
Signed, traced record of what an npm package or file attempts when run, network included. No key.
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
Check before your agent installs, connects or pays. install_check: before installing an npm or PyPI package, a GitHub repo, a skill or an MCP server, it answers allow / hold / block (known malicious packages from OSV, typosquats of official MCP servers, names that do not exist, install scripts, maintainer changes). check_service: live status, real price and payTo vs the catalogue listing for any x402 endpoint or MCP server, OFAC and stablecoin-freeze screening, uptime, tool-set changes, on-chain payers, an open Trust Score. preflight_payment decides allow / hold / block right before an x402 payment is signed; payment_status prevents paying twice; dispute_evidence builds a signed evidence pack. Every answer is signed into a public transparency log. Free, no account. Claude Code plugin: alalanet-guard.
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.
TweakThis hands your coding agent the feedback left on your website. You or your client point at an element with the Chrome or Firefox extension and write a note; TweakThis captures the page, the element's selectors, HTML and styles, and a screenshot. Claude Code, Codex or any MCP client reads it over MCP, fixes it in your repository, and submits a resolution that you accept or reopen.
HefestoAI checks AI-generated code before you ship it.
Writes your daily standup from GitLab or GitHub merge request state: what's ready, blocked or waiting on your review, and why a pipeline is red, read from the failing job log. OAuth sign-in, no API keys; can post the note to Slack, Discord or Google Chat on a schedule.
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.
Finds the GitHub Actions workflow eating your CI bill and suggests fix diffs, verified against runs.
Task tracker for product teams: projects, features, tasks, bugs, team chats and code context.
Count tokens exactly for any text and see if it fits a 128K, 200K or 1M context window.
Free vulnerability lookup and feeds for agents. Look up any CVE, GHSA or OSV ID, read vulnerability feeds filtered by technology, ecosystem, critical or CISA KEV, and check a lockfile for known vulns. Data is merged from the CVE List, GitHub Advisories, OSV, NVD, EUVD, CISA KEV, EPSS and Exploit-DB. No account or API key. Built by Sazabi.
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
Enhanciar is an AI company brain for every team. It reads your Slack, Gmail, Google Drive, Notion, Confluence, Jira, Linear, Zendesk, GitHub code and databases, writes a wiki from them, and answers questions from any MCP client with a link to the source. Tools: query (cited answers), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (what a code change touches), list_repos, list_skills, get_skill, propose_action and list_proposed_actions (tickets, Slack messages, Gmail drafts, Notion pages and calendar holds that a person approves first). Hosted service, bring your own AI key. Plans: Solo $24 a month, Team $100 a month for up to 10 people. Create an API key in Settings at https://enhanciar.in.
Generate and review codebase docs. 77 tools; scoped, credit-approved repository reviews.
Read-only data on AI API relay stations: rank, purity, uptime, price per model.
Live security incidents, updated hourly from CISA KEV, critical GitHub security advisories, CVE records, vendor advisories and security news. For each one: what's affected, whether a fix exists, which versions fix it, and the sources. Check a lockfile or a whole repo and get the exact upgrade. Lockfiles are read in memory and never stored. Read-only MCP server, no auth
Patchwire is a free, read-only MCP server for security advisories on modern JS, AI and web3 stacks. It reads maintainers' own advisories and vendor security posts every hour, often days before they reach the GitHub Advisory Database, and returns vulnerable ranges, fixed versions per release line and the conditions that make each flaw exploitable. Send package names, never versions. No account, no key.
Project context, backlog tasks, and controlled workflows for coding agents. OAuth sign-in.
Shared project memory for coding agents: decisions, lessons, guardrails and tasks per repository.
Compare AI model prices and estimate workload costs with four read-only tools. No account needed.
Offline Protocol packages, workflows and integration guides over HTTPS. Read-only.
Jam recordings (video, console, network) as context and proof of work for your coding agent.
Behind Check and GAIP Watch, and Diagnose: A2A, MCP and OpenAPI checks with a dated change log.
Get open-source GitHub projects running on your computer, with your AI app
Production errors your coding agent can read: search, stack traces, context, trends, resolve.
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.
30+ deterministic dev and delivery tools: linting, metrics, diagrams, model advice, AI-text checks.
