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650,521 tools. Updated 2026-10-14 00:42

"AI coding assistant with visual UI interaction, GitHub integration, and adaptive agent system" matching MCP tools:

  • Given a description of an AI system (assistant, coding agent, voice bot, background agent, robot, vehicle), return the applicable AXI conformance profile, Bridge components, guardrails, and black-box conformance tests to include in its design and plan.
    ConnectorNo auth
  • Queue a new TestMyVibes job for a given URL. You explicitly choose the runner: AI agent (headless Chromium + GPT-4o vision, fastest, deterministic for well-specified goals) or human checker (slower, better for visual/UX judgment calls). Returns a jobId you can poll with get_test_status.
    ConnectorNo auth
  • Register this agent with the GovBid Global API and receive an API key. Call this once if you don't already have an api_key, before calling search_opportunities. No human interaction (e.g. CAPTCHA) is required — this endpoint is designed for autonomous AI agent self-registration. The returned api_key is shown only once, so store it for reuse.
    ConnectorNo auth
  • List runnable Epsilon integration examples (Python cron DCA, LangChain tools, Vercel AI SDK tools, Telegram bot). Fetch full source with get_example. No API key required.
    ConnectorAPI key
  • Returns AdCritter design guidance for an entity at a caller-chosen guidance level - screen experiences, API integration patterns, and design philosophy. The default ('full') returns step-by-step prescription (exact layouts, colors, copy text, column orders). Request 'patterns' for balanced hints including common design patterns with softened vocabulary. Request 'facts' if you have strong visual-design instincts and just want API integration bindings (or call adcritter_get_api_reference and adcritter_get_usage_guide directly and skip this tool). Guidance is format-agnostic - it describes outcomes and integration, never prescribes frameworks or architecture. Available entities: ad, advertiser, audience, authentication, blueprint, campaign, geo, media-asset, plan, report, settings.
    ConnectorNo auth
  • Get TensorFeed's daily scan of new repositories across the AI agent ecosystem (Anthropic, OpenAI, Microsoft, ModelContextProtocol, HuggingFace, LangChain, frontier labs) plus recent MCP/x402/skills keyword sweeps. Each opportunity includes the GitHub repo path, description, stars, last update, the source signal, and a composite score (signal weight × log10(stars+1) × recency decay). Refreshed daily at 13:30 UTC. Useful for surfacing distribution targets, integration ideas, or just a daily digest of what's launching across the agent space. License: GitHub data via the public Search API; output is TensorFeed's curated ranking.
    ConnectorNo auth

Matching MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.
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Matching MCP Connectors

  • Names the GitHub repository where this site's problems become work somebody can pick up. Reach for it when a developer or a coding agent should be getting issues instead of reading a dashboard. WRITES to this website's Inclusify configuration, never to the site itself and never to GitHub: it records the repository and opens no issues by itself, which file_github_issues does. It CANNOT install the GitHub App: that is an approval screen on the customer's GitHub account reached from the Integrations page of the Inclusify panel, and no assistant can do it, so this refuses until the workspace has an installation. Before saving it checks the App can actually write issues in that repository and saves nothing if it cannot, so a stored binding always works. REQUIRES CONFIRMATION, because the wrong repository puts accessibility work in front of a team that did not ask for it, somewhere a coding agent may act on it unattended. The account owner is emailed a record, including the previous repository. Needs the PRO plan, matching the panel.
    Connector
    Destructive
    API key
  • Leave an Oyeh note for a friend's AI assistant. Their assistant shows it to them the next time they ask for their notes. Use only when your person asks you to tell, ask or remind a friend something, and send it in your person's own words. Works with friends only (see my_friends); for someone new, use invite_friend or add_friend first.
    ConnectorOAuth
  • Send a message to CeeVee AI assistant for CV optimization guidance (2 credits). Requires a cv_version_id (use ceevee_upload_cv or ceevee_list_versions to get one). Returns AI response with optional edit suggestions, source citations, and a conversation_id. Omit conversation_id to start a new conversation; include it to continue a thread.
    ConnectorOAuth
  • Probes a domain for known AI agent integration signals: `llms.txt`, `ai.txt`, `/.well-known/ai-plugin.json`, `openapi.json`, `swagger.json`, MCP manifest, MCP SSE endpoint. Returns a score based on the count of signals detected. Use this to assess whether a domain is ready for agent-to-agent interaction. Use this tool when: - You want to know whether a domain exposes an MCP server or OpenAPI spec for agents. - You are cataloguing the AI-agent-ready surface of a set of domains. - You need to decide whether to attempt programmatic API access to a domain. Do NOT use this tool when: - You need tracker/surveillance data about the domain — use `get_domain` instead. - You need the robots.txt AI crawler policy — use `intel_robots` instead. - You need HTTP security posture — use `intel_http` instead. Inputs: - `domain` (query, required): Domain to probe. Returns: - Boolean flags per signal (`llms_txt`, `ai_plugin`, `openapi`, `mcp_manifest`, `mcp_endpoint`, `mcp_sse`). - `agent_surface_score`: integer 0-8, count of signals detected. Cost: - Free. No API key required. Latency: - Typical: 2-5s (parallel probes), p99: 8s.
    ConnectorNo auth
  • Updates a design system for a project. Use this tool when the user wants to change the overall visual theme, style, or branding of the application. This includes configuring: - Color Palette: Presets, custom primary colors, and saturation levels. - Typography: Font families (e.g., Inter, Roboto, etc.). - Shape: Corner roundness for UI elements. - Appearance: Light and dark mode background colors. - Design MD: Free-form design instructions in markdown. This tool establishes the foundational design tokens that apply across all screens in the project.
    Connector
    Destructive
    No auth
  • Get AI-powered tool recommendations for a specific need. This is the recommended starting point — describe what you're looking for in natural language and get curated, ranked results with explanations. Handles search, filtering, scoring, and ranking in one call. Use this instead of chaining search_listings + get_listing + compare_listings. Examples: - "best coding agent for a small startup on a budget" - "open source alternative to Cursor for VS Code" - "autonomous customer support agent with MCP support" - "self-hosted data analysis tool for enterprise"
    ConnectorNo auth
  • Render a ready-to-paste coding prompt for an annotation, formatted for a target assistant. A deterministic template (no AI spend); for a deeper analysis use diagnose_annotation.
    ConnectorNo auth
  • Score how bot-friendly a website is (0-100). Fetches the site the way an agent would — no JavaScript, no cookies — and checks access (reachability, HTTPS, robots.txt, AI crawlers allowed, real 404s), content without JavaScript (H1, 500+ chars of raw text, metadata, JSON-LD), and machine discovery (llms.txt, sitemap, OpenAPI spec or ai-plugin.json), with evidence and fix advice per check. Set format to 'prompt' to instead get a ready-to-paste coding-agent prompt that fixes every failed finding. Rate limited to 6 checks per minute per caller; each check takes a few seconds.
    ConnectorNo auth
  • List every comparison from https://devplane.dev/compare — DevPlane vs. a single AI assistant, vs. an issue tracker, and multi-agent vs. single-agent — each with the full side-by-side dimension table and verdict.
    ConnectorNo auth
  • Confirms the API key works and tells Emailchaser which AI assistant connected. Call it as your first action after connecting, and whenever the user asks you to confirm or check the Emailchaser connection: it records the assistant and time on the key, which the app's API & MCP page watches to show the user you are in, and completes the 'Connect your AI' onboarding step. Idempotent: repeat calls simply refresh the record. Works with read-only keys as well as read & write keys.
    ConnectorNo auth
  • Create an interaction proof before issuing a SkillEndorsementCredential. Returns evidence_hash and base_tx_hash anchored on Base L2. Required before calling mt_endorse_agent. Valid for 72 hours. Args: api_key: MolTrust API key of the agent creating the proof agent_a: DID of the first agent in the interaction agent_b: DID of the second agent in the interaction interaction_type: Type of interaction (e.g. skill_verification, purchase, prediction) outcome: Outcome of the interaction: success or failure
    ConnectorNo auth
  • Quick AI visibility scan. Returns three scores: AEO Score (0-100, AI search engine findability), GEO Score (0-100, AI citation readiness), and Agent Readiness Score (0-100, AI agent interaction capability). Also returns AI Identity Card with mention readiness (0-100, predicts how likely AI will mention the brand), detected competitors, business profile (commerce/saas/media/general), and top 5 issues. 77+ checks across 12 categories. Free — no API key needed. Does NOT return per-check details or fix code — use audit_site for full breakdown, fix_site for generated fixes, compare_sites to benchmark against a competitor.
    ConnectorNo auth
  • Uses the configured AI assistant to review one appointment ask from a sales call in context. Returns prose with a verdict, present and missing parts, a tailored rewrite in the rep's voice, and one coaching line. Choose this for phrasing and coaching; use check_appointment_ask for deterministic six-part scoring and a fixed template example. Available only when an assistant provider is configured.
    ConnectorNo auth