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128,576 tools. Last updated 2026-05-06 03:05

"Exploring a GitHub repository and creating a detailed flowchart of its functionality" matching MCP tools:

  • Build and deploy a governed AI Team solution in one step. ⚠️ HEAVIEST OPERATION (60-180s): validates solution+skills → deploys all connectors+skills to A-Team Core (regenerates MCP servers) → health-checks → optionally runs a warm test → auto-pushes to GitHub. AUTO-DETECTS GitHub repo: if you omit mcp_store and a repo exists, connector code is pulled from GitHub automatically. First deploy requires mcp_store. After that, write files via ateam_github_write, then just call build_and_run without mcp_store. For small changes to an already-deployed solution, prefer ateam_patch (faster, incremental). Requires authentication.
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  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools. Args: tool_name: Optional name of a specific tool to get detailed help for. Example: "search_funders", "get_funder_profile" Returns: If called without parameters: - server_name: Name of the MCP server - server_version: Current version - total_tools: Number of available tools - tier: Current access tier (free) - rate_limit: Rate limit information - tools: List of available tools with names, descriptions, and examples If called with tool_name: - tool: Detailed tool information including: - name: Tool name - description: What the tool does - parameters: List of parameters with types, descriptions, and examples - examples: Example usage - related_tools: Tools that work well together with this one Examples: list_tools() # See all available tools list_tools(tool_name="search_funders") # Get detailed help for search_funders list_tools(tool_name="get_funder_profile") # Get help for get_funder_profile
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  • Scan a GitHub repository or skill URL for security vulnerabilities. This tool performs static analysis and AI-powered detection to identify: - Hardcoded credentials and API keys - Remote code execution patterns - Data exfiltration attempts - Privilege escalation risks - OWASP LLM Top 10 vulnerabilities Requires a valid X-API-Key header. Cached results (24h) do not consume credits. Args: skill_url: GitHub repository URL (e.g., https://github.com/owner/repo) or raw file URL to scan Returns: ScanResult with security score (0-100), recommendation, and detected issues. Score >= 80 is SAFE, 50-79 is CAUTION, < 50 is DANGEROUS. Example: scan_skill("https://github.com/anthropics/anthropic-sdk-python")
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  • BROWSING / DISCOVERY search — cities, neighbourhoods, or mixed venues near a location. Use this when the user is exploring a REGION rather than looking for a specific category. Supports population filtering ('cities > 100k'), distance/population sorting, and layer filtering (locality / neighbourhood / venue / address / street). For specific POI categories (gas, food, charging, etc.), use `search_places` instead.
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  • List all AI filters for the current workspace. AI filters are semantic intent-based message filters that use embeddings (vector representations) to detect whether an incoming message matches a specific intent or topic. Unlike keyword filters, they understand meaning: 'I need help with my order' and 'my package hasn't arrived' both match a 'shipping support' filter even without shared keywords. Each filter stores a reference embedding of its description. When a message arrives, its embedding is compared via cosine similarity against the filter's reference vector. If the similarity exceeds the threshold, the filter matches. When to use: - Check which semantic filters already exist before creating a new one - Get filter IDs for use in trigger conditions - Review thresholds and active status of existing filters Returns all filters with id, name, description, threshold, and is_active.
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Matching MCP Servers

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    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
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    MIT
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    Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
    Last updated
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    MIT

Matching MCP Connectors

  • GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)

  • Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…

  • Returns a curated list of example plans with download links for reports and zip bundles. Use this to preview what PlanExe output looks like before creating your own plan. Especially useful when the user asks what the output looks like before committing to a plan. No API key required.
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  • Get detailed information about a specific job listing/posting by its job listing ID (not application ID). Use this to view the full job posting details including description, salary, skills, and company info. For job application details, use get_application instead.
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  • Reposition an existing item to a new (x, y) without retyping its content. Works for every item kind: `text` and `link` set the top-left to (x, y); `line` translates every point so the stroke's bounding box top-left lands at (x, y); `image` sets the top-left like text. `kind` defaults to `text` for backward compat with older callers. Find the id + kind via `get_board`. Prefer `move` over re-creating an item when only the location changes — it preserves the id, content, author and avoids a round-trip of base64 bytes for images.
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  • Get details about a specific workspace by its slug, including columns of its primary table surface, member count, and row count. A workspace contains one or more surfaces (tabs): any combination of `table` (rows + columns) and `doc` (TipTap body) kinds, one or many of either. Use `list_surfaces` to enumerate every tab; fetch /rows or /doc to read or write a specific one.
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  • Get a detailed explanation of a specific edit from a positioning review (1 credit). The change_id comes from the edits array returned by ceevee_confirm_lens or ceevee_full_review. Returns a detailed rationale for the recommended change. cv_version_id from ceevee_upload_cv or ceevee_list_versions.
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  • Create and save a new Workflow in the workspace. IMPORTANT: Always validate the config with workflow_specs_validate before creating the workflow. The config is the same JSON format used by workflow_specs_run and workflow_specs_validate. Once saved, the workflow can be executed by ID via workflows_run. Returns the created workflow including its document ID. Save this ID — it is required for workflows_update.
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  • WHEN: generating a visual diagram of D365 table relationships or security chains. Triggers: 'generate diagram', 'diagramme', 'visualize', 'schéma', 'ER diagram', 'entity-relationship', 'relation diagram', 'security diagram', 'show connections'. Generate visual Mermaid diagrams from D365 F&O knowledge base data. Diagrams render directly in Copilot Chat, Cursor, Claude, and markdown viewers. Types: 'er' (entity-relationship diagram for a table and its relations), 'security' (security chain: Role->Duty->Privilege->EntryPoints -- use when you need a VISUAL Mermaid diagram; for the structured text chain with tables of duties/privileges/entry-points use `trace_security_chain` instead). Note: 'flow' (execution flowchart) is disabled -- static call trees are misleading in D365 due to CoC and event handlers.
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  • Get the full schema of a specific Workflow block. Returns all properties, required fields, and descriptions for a block identified by its manifest name (as returned by ``workflow_blocks_list``).
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  • Create or update a comment on a Linear issue. If `id` is provided, updates the existing comment; otherwise creates a new one. When creating, `issueId` and `body` are required.
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  • Add elements from Mermaid diagram. ⚠️ IMPORTANT: Call get_guide first and follow its instructions! If room_url is NOT provided - creates a NEW canvas and returns room_url. If the user did not explicitly mention an existing board/canvas/room, do NOT ask for a room_url; create a new canvas instead. If a previous Canvs tool result or assistant message in the same conversation contains a room_url, reuse it for follow-up requests like 'add to it' or 'same board'. If the user refers to a previous board but no usable room_url is available, create a new canvas instead of asking for the URL by default. If room_url IS provided - adds diagram elements to that canvas. If the canvas is displayed as an inline widget in the interface, do NOT include room_url in your reply. If no widget is shown, share the room_url so the user can open the canvas.Supports Flowchart, Sequence, and Class diagrams. FLOWCHART EXAMPLE: "flowchart TD\n A[Start] --> B{Decision}\n B -->|Yes| C[OK]\n B -->|No| D[Cancel]" SEQUENCE EXAMPLE: "sequenceDiagram\n Alice->>Bob: Hello\n Bob-->>Alice: Hi" CLASS EXAMPLE: "classDiagram\n class Animal{\n +name: string\n +eat()\n }\n Animal <|-- Dog"
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  • Retrieve a single follow-up record by its unique ID. Use when the freelancer asks to view the full details of a specific saved follow-up, including its content, type, and sent status.
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  • Confirm live price and reserve a flight offer for 30 minutes. After unlocking, call book_flight to complete the booking. Requires GitHub star verification.
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  • Show GitHub sync status for ALL tenants and solutions in one call. Requires master key authentication. Returns a summary table of every tenant's solutions with their GitHub sync state.
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  • Sync ALL tenants: push Builder FS → GitHub, then pull GitHub → Core MongoDB. Requires master key authentication. Returns a summary table with results for each tenant/solution.
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