"Extracting data from GitHub" matching MCP tools:

• document.summarizeA

  apiA

  Summarize document text into a prose summary and key points with citations. Use after document.extract_text or url.extract when you need a condensed understanding of a long document. For single-sentence Q&A, use url.qa instead. For extracting specific fields, use document.extract_structured. Typical workflow: document.extract_text/url.extract → document.summarize. Returns: { summary: string, key_points: string[], summary_cited: { value, confidence, citations[] }, key_points_cited: [{ text, citations[] }], truncated: boolean, strategy: "full"|"truncated"|"chunked" } Example prompts: - "Summarize this financial report and give me the key points." - "What are the main takeaways from this document?" - "Give me a concise summary of this 50-page report."

  ConnectorNo auth

• document.summarizeA

  DocImprintA

  Summarize document text into a prose summary and key points with citations. Use after document.extract_text or url.extract when you need a condensed understanding of a long document. For single-sentence Q&A, use url.qa instead. For extracting specific fields, use document.extract_structured. Typical workflow: document.extract_text/url.extract → document.summarize. Returns: { summary: string, key_points: string[], summary_cited: { value, confidence, citations[] }, key_points_cited: [{ text, citations[] }], truncated: boolean, strategy: "full"|"truncated"|"chunked" } Example prompts: - "Summarize this financial report and give me the key points." - "What are the main takeaways from this document?" - "Give me a concise summary of this 50-page report."

  ConnectorNo auth

• url.translateA

  apiA

  Fetch a public HTTPS URL and return its content translated into a target language. Lean mode — no bundle stored. Use when you need to understand web content in a different language. For extracting raw untranslated text, use url.extract instead. Returns: { url, translated_text, target_lang, truncated } Example prompts: - "Translate https://example.de/artikel into English for me." - "Translate this German article into Spanish: [URL]." - "Fetch [URL] and give me the French translation."

  ConnectorNo auth

• findagent_connect_githubA

  FindAgentA

  Start connecting GitHub for the CALLER'S OWN FindAgent account so findagent_import_repo / findagent_list_repos can pull their repos. Returns whether GitHub is already connected plus a browser connect URL — the caller opens it, authorizes GitHub, and the token is stored server-side (this tool grants nothing itself; the actual connect happens in the browser). Call this first if import_repo or list_repos reports github not connected. The connection is scoped to THIS FindAgent account, so authorize on the same browser account. To switch GitHub accounts, use findagent_disconnect_github first.

  ConnectorOAuth

• findagent_list_reposA

  FindAgentA

  List the CALLER'S OWN GitHub repos so you can pick one to import. Returns each repo's full_name (owner/repo), default_branch, and private flag. Pass a chosen full_name to findagent_import_repo. If GitHub is not connected it returns connected:false pointing at findagent_connect_github; in GitHub-App mode with no repos granted it returns needs_install with an install URL. Never returns your GitHub token.

  ConnectorOAuth

• findagent_disconnect_githubA

  FindAgentA

  Disconnect / switch GitHub account: drops the caller's stored GitHub connection (best-effort revoking the GitHub-side grant first) so a reconnect can authorize a DIFFERENT GitHub account. Idempotent — returns disconnected:true even if nothing was connected. After this, call findagent_connect_github to connect the new account.

  ConnectorOAuth

• find_examplesA

  SenzingA

  Find working SOURCE CODE examples from 42 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos, (2) File listing: pass `repo` + `list_files=true`, (3) File retrieval: pass `repo` + `file_path`. Indexes source code (.py, .java, .cs, .rs, .ts, .js) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C# (official SDKs) plus Rust and TypeScript/Node.js (community-maintained wrappers, not official) SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval.

  ConnectorNo auth

• palette_analyseA

  Colour MemoryA

  Analyse a palette of hex colours against the Colour Memory archive. For each colour returns the nearest named archive entry with cultural name, source, claim_strength (A-E), do_not_say guardrails, and alternatives when confidence is low. Palette-level deduplication ensures no two colours map to the same archive entry. Use after extracting colours from a photo or generating a palette. The result already carries the rendered palette and its PNG, PDF, ASE, JSON and CSS downloads -- show them to the customer. Never present the archive anchors a colour was derived from as the colours you are recommending. If you go on to choose a final palette OF YOUR OWN from this evidence, call palette_finalize once with those exact colours so the customer can see and download what you actually recommended.

  ConnectorNo auth

• ateam_delete_skillA

  ateam-mcpA

  ⚠️ IRREVERSIBLE in Core + Builder FS — kills the running MCP process, unregisters from skill registry, deletes the Mongo record, drops from solution.skills[] and solution.linked_skills, and removes the skill's files from Builder FS. REQUIRES `confirm:true`. RECOVERY: the skill still lives in GitHub — `ateam_github_pull` rebuilds the whole solution (no per-skill restore path).

  ConnectorNo auth

• ateam_upload_connectorA

  ateam-mcpA

  Upload connector code to Core and restart — WITHOUT redeploying skills. MERGES with the GitHub state at `ref` by default (default ref: 'dev'). Sending a partial file set ONLY overlays those files — the rest of the connector is preserved from GitHub. To fully replace the connector dir (historical behavior), pass replace:true. Modes: • github:true (no files) — deploy the GitHub state at `ref` as-is. • github:true + files:[] — GitHub state at `ref` as BASE, your files overlay on top (incoming wins). • files:[] (no github) — default MERGE with GitHub state at `ref`. Refuses if no GitHub base exists (no silent nuke). • files:[] + replace:true — full replace. Wipes connector dir + writes only the provided files. Use deliberately. Multi-file connectors (server.js + dashboard HTML + RN bundle + package/manifest): pass each file with content_base64 (a single-line, escape-safe base64 string) instead of content — so you don't hand-escape ~90KB of HTML/JS/JSON inside one tool call. This is the CANONICAL agent path for a full connector; do NOT hand-roll `curl` against the raw endpoint (that skips connector registration / PAT provisioning). Common traps this design prevents: • Pre-fix bug (2026-06-06): sending just ui-dist HTML wiped server.js + node_modules — connector broke until a full re-upload. Now: those files merge with the GitHub base. • Pre-fix bug: github:true silently read from `main` even when patches were on `dev`. Now: defaults to dev; pass ref:'main' to opt into the legacy path.

  ConnectorNo auth

• regex_testA

  IA-QA — 130+ QA & Dev Tools for AI AgentsA

  Test a regular expression pattern against an input string and return all matches with their index positions and named capture groups. Use for validating user inputs, extracting structured data from text, or debugging regex patterns. Supports flags g, i, m, s, u, y. The match runs in an isolated thread with a 500 ms budget: a pattern that blows up (catastrophic backtracking, e.g. "(a+)+$") comes back as redos_detected:true — a real ReDoS verdict on your pattern — instead of hanging.

  ConnectorNo auth

• list_github_discussionsA

  canton-ccpediaA

  List GitHub Discussions from Canton Network and Digital Asset repositories cached by CCPEDIA, sorted by recency (newest first). Filter by repo or category, or call with no filter to see which repos are present. CANTON-ONLY and read from CCPEDIA's cache, NOT the live GitHub API or the user's own repos (use a GitHub MCP for those). This is GitHub Discussions: distinct from the Canton web forum (get_discussion) and the sync.global mailing lists (list_mailing_threads). Use get_github_discussion for full body + comments.

  ConnectorNo auth

• detect_driftA

  canton-ccpediaA

  Find contradictions between docs, forum and GitHub on a topic. Returns counts of how each surface talks about it plus the most recent doc-page and forum statement so the caller can spot mismatches. Distinct from get_kb_drift (which compares foundation_kb to live releases).

  ConnectorNo auth

• get_cipA

  blobpediaA

  Read the full text of one Celestia Improvement Proposal (CIP) by its id. Celestia governance docs only — not GitHub issues or arbitrary proposals (use a GitHub tool for those). Get the id from search or list_cips first.

  ConnectorNo auth

• get_github_discussionA

  blobpediaA

  Read one Celestia GitHub Discussion (celestiaorg/docs and other Celestia repos) cached on THIS server — full body plus comments — by an id you got from list_github_discussions on this server. Celestia cache only: if the id was not returned by this servers list_github_discussions, or the request is just a raw GitHub node id (e.g. D_kw...) with no Celestia context, this is NOT the tool — use a dedicated GitHub tool for arbitrary GitHub Discussions. This is GitHub Discussions, not the community forum (use get_discussion). Pair it with list_github_discussions, which supplies the valid ids.

  ConnectorNo auth

• list_github_reposA

  KeelenA

  List repos the workspace's GitHub connection can see (for import_project). Each entry has full_name, default_branch, private, language, pushed_at. Pass a `full_name` to import_project(repo_full_name) to connect it. Returns 409 if GitHub isn't connected yet — call connect_github() first.

  ConnectorNo auth

• analyze_package_changeA

  dep-diff-mcpA

  Given one package and two versions (from -> to), returns a structured upgrade analysis: semver classification, GitHub release notes summary, detected breaking changes, security advisories fixed in the range, migration guide links, and a clear recommendation. Use when the user asks about a specific package upgrade ('what changed between react 18 and 19', 'is it safe to bump axios from 0.27 to 1.0', 'what does upgrading lodash 4.17.20 to 4.17.21 fix'). Supports npm, pypi, and github-actions (use the action reference as the name, e.g. actions/checkout). For analyzing many packages at once or a Dependabot batch, use analyze_packages_bulk instead.

  ConnectorNo auth

• waveguard_scanA

  WaveGuardB

  Find outliers and anomalies in structured data — ideal as a second step after pulling records from Google Sheets, Airtable, Supabase, Notion databases, HubSpot, Financial APIs, GitHub, NPM, or any source that returns rows of JSON. Fully stateless: send known-good rows as training and suspect rows as test in ONE call. Returns per-row anomaly scores, confidence levels, and the top features explaining WHY each row was flagged. Typical workflow: (1) Pull data from another tool (e.g. Google Sheets, Supabase query, HubSpot deals). (2) Pass the first N rows as training (normal baseline). (3) Pass remaining or new rows as test. (4) Report which rows are anomalous and why. Works on JSON objects, numbers, text, arrays. No separate training step required. Examples: - Spreadsheet QA: Pull 500 sales rows from Sheets → train on first 400 → test last 100 → flag outlier entries - Financial screening: Get ratios for 50 stocks from a financial API → find anomalous ones - CRM hygiene: Pull HubSpot deals → flag deals with unusual discount/value patterns - Dependency audit: Get NPM package metrics → flag packages with anomalous quality scores - Commit review: Pull GitHub commit metadata → flag unusual commit patterns

  ConnectorNo auth

• get_agent_opportunitiesA

  TensorFeedA

  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

• list_reposA

  canton-ccpediaA

  List the Canton Network GitHub repositories that CCPEDIA has indexed (Canton org repos such as canton-foundation and Daml/Splice, excluding the dev-fund proposals repo), with the count of issues+PRs indexed per repo. CANTON-ONLY and read from CCPEDIA's cache. This is NOT a live GitHub API and does NOT list the user's own repos (use a GitHub MCP for that).

  ConnectorNo auth

• get_github_discussionA

  canton-ccpediaA

  Get the full body and comments of a single GitHub Discussion from a Canton Network or Digital Asset repo, by its GitHub GraphQL node id (from list_github_discussions). CANTON-ONLY, read from CCPEDIA's cache. Not the live GitHub API. This is GitHub Discussions, distinct from the Canton web forum (get_discussion) and mailing lists (get_mailing_thread).

  ConnectorNo auth