"Ways to Improve Thinking Skills" matching MCP tools:

• popular_skills

  BytesAgain AI Skills Search

  Return top N AI agent skills ranked by download count. Use for discovery or onboarding when user has no specific task in mind (e.g. "show me popular skills", "what can I do with this"). Do NOT use when user describes a specific task — use search_skills instead. Returns: slug, name, description, category, downloads, stars. On database error returns empty list — do not retry. Default limit 20, max 50. Follow up with get_skill only if user requests details on a specific result.

  Connector

• ateam_build_and_run

  ateam-mcp

  DEPLOY THE CURRENT MAIN BRANCH TO A-TEAM CORE. ⚠️ HEAVIEST OPERATION (60-180s): validates solution+skills → deploys all connectors+skills to Core (regenerates MCP servers) → health-checks → optionally runs a warm test → auto-pushes to GitHub. 🌳 DEV/PROD WORKFLOW: 1. Edit files → ateam_github_patch (writes to `dev` branch by default) 2. (Optional) Preview what's about to ship → ateam_github_diff 3. Ship dev → main → ateam_github_promote (merges + auto-tags `prod-YYYY-MM-DD-NNN`) 4. Deploy main to Core → ateam_build_and_run This tool ALWAYS deploys the `main` branch — there is no `ref` parameter. To deploy in-progress dev work, first promote it. AUTO-DETECTS GitHub repo: if you omit mcp_store and a repo exists, connector code is pulled from main automatically. First deploy requires mcp_store. After that, edit via ateam_github_patch + promote, then build_and_run. For small changes prefer ateam_patch (faster, incremental). Requires authentication.

  Connector

• ateam_redeploy

  ateam-mcp

  Re-deploy skills WITHOUT changing any definitions. ⚠️ HEAVY OPERATION: regenerates MCP servers (Python code) for every skill, pushes each to A-Team Core, restarts connectors, and verifies tool discovery. Takes 30-120s depending on skill count. Use after connector restarts, Core hiccups, or stale state. For incremental changes, prefer ateam_patch (which updates + redeploys in one step).

  Connector

• pathrule_update_skill

  Pathrule

  Partially update an existing Pathrule skill record. Use pathrule_update_skill only when you already have a skill_id and want to change metadata, SKILL.md content, source/github_url, tags, or move the skill to another workspace path; use pathrule_write_skill to create a new skill, pathrule_read_skill to inspect the current body first, and pathrule_delete_skill to remove one. Requires an authenticated connector token with pathrule:write and an active workspace subscription. Side effects: writes the cloud skill record, may replace fields present in patch, may move the skill when move_to_path is set, and may fail on version conflict; it never installs files into .codex/skills, .claude/skills, or editor folders.

  Connector

• archive_coverage_gap

  Colour Memory

  Given a list of themes, report which are well-evidenced in the archive and which are under-evidenced or missing. Returns a coverage matrix: for each theme, entries found, coverage grade (strong/moderate/weak/missing), best match with claim strength, and what source type would be needed to improve coverage. Use this BEFORE building an archive_report_brief or brief_forensic to know where the evidence is strong and where gaps will appear. Prevents building beautiful reports that quietly ignore half the brief.

  Connector

• tailor_resume_tool

  Workopia — Job Search

  Tailor a resume to a SPECIFIC job — TWO steps. STEP 1 (default; action omitted or 'prepare'): the server returns the job's full JD, its must-have skills/requirements, and the candidate's current resume, plus tailoring instructions. YOU (the model) then WRITE the tailored resume as JSON Resume, following the instructions — weave JD keywords into existing bullets only where the candidate genuinely has the experience, never fabricate experience/titles/dates/employers, keep all dates and company names, and flag any keyword you couldn't honestly add. STEP 2: call this tool again with action:'save', tailored_resume:<your JSON Resume>, and job_id — the server renders a PDF and saves it to the candidate's Workopia dashboard (requires sign-in). Use whenever the user references a specific job to tailor for: 'tailor for #1', 'for Morgan Stanley', 'tailor my resume for this role: <JD>'. Resolving job_id (same rules as job_detail_tool): from the most recent prior search/refine result — (a) numeric/ordinal → the Nth job; (b) company name → Company-field match; (c) role/title phrase → Job-Title match — then pass that job's **Job Id** value VERBATIM. Do NOT use placeholders like 'JOB_1' or '#1'. For STEP 1 supply ONE of job_id (preferred — server fetches the JD from Mongo) OR job_description, plus the candidate's resume via resume_text / resume_content / resume_data. For general 'improve my resume' (no specific job), do NOT call this tool — call resume_tool action=improve instead. Note: the tailored resume is written by your AI client's own model — the assistant you are already using — so it works out of the box with nothing to configure; Workopia runs no LLM of its own and never charges for the AI.

  Connector

• find_room

  capitolguide

  Find a Capitol office by ROOM CODE (e.g. 'SH-217', '2310 Rayburn', '167 Russell', 'H-232'), by MEMBER NAME (e.g. 'Cornyn', 'Ted Cruz', 'Womack'), or by COMMITTEE ('Senate Judiciary', 'Ways and Means', 'House Armed Services'). A room code returns the decoded location plus who currently holds it; a name returns that member's current office; a committee returns its office / principal hearing room. Member & committee assignments are the 119th Congress (volatile, live-source-stamped).

  Connector

• upgrade_pane

  Pane

  Re-pin a LIVE pane to swap its HTML (design) + event/input/record schemas in place — same URL, no new pane. Two ways: (1) pass `html` to EDIT AN INLINE PANE'S HTML in one call — the relay appends a fresh version with that HTML and re-pins (schemas you omit are inherited from the current version, so to change only the HTML pass only `html`); inline panes only. (2) pass `template_version` to re-pin to a version you already appended with the `template` tool (action: version) — for named/reusable templates. By default a strict schema-compat gate refuses an upgrade that would narrow the schema (returns schema_incompatible_upgrade + details.breaks); pass force:true to apply anyway. Returns { pane_id, template_version, upgraded, breaks, compat }.

  Connector

• get_job

  JobGPT

  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.

  Connector

• get_skills

  simplefunctions

  List authenticated user's skills. (Public skills are at browse_public_skills.)

  Connector

• x711_vault_query

  x711

  Semantic vector search across your private vault. Returns ranked memories by cosine similarity × confidence × importance. Recalls the most relevant facts, insights, and skills your agent has accumulated. FREE always. Requires API key (reads your vault only — other agents cannot access it).

  Connector

• x711_vault_write

  x711 — Universal Agent Gas Station

  Write a private memory pack to your agent's personal vault. Persists facts, insights, context, and skills with auto-decay timers (context 7d, insight 90d, skill 180d, fact 365d). First 500 lifetime writes free, then $0.01/pack. Mark immortal=true (+$0.05) to disable decay forever. Vault is private — only your agent can read it. Pair with vault_query for recall. Requires API key.

  Connector

• percentage-calculator

  Microapp

  Calculate percentages three ways: what's X% of Y, what % is X of Y, and what's the % change from X to Y. Use mode='of' for the first form, mode='ratio' for the second, mode='change' for the third.

  Connector

• list_jurisdictions

  OpenAccountants

  Returns every jurisdiction with published skills — countries (ISO 2), US states (US-XX), Canadian provinces — with skill counts, accountant-verified counts, and named lead verifier. Use when the user asks 'which countries does OpenAccountants cover?' or 'what's available for [country]?' Avoids paginating through list_skills to compute this.

  Connector

• load_skill

  Heista

  Load the full SKILL.md body for one skill by canonical dot-notation name (e.g. "research.foundation", "research.methodologies.desk-synthesis", "shared.registers.cinema-mode"). Returns frontmatter + body + content_hash. Verifies content_hash against the registry and surfaces drift if the registry is out of sync with disk. Use AFTER list_skills to pick the right skill. For register-type skills with references/ folders, follow with load_skill_reference to pull specific references. Free, read-only.

  Connector

• ask_wiremi

  Wiremi Marketing MCP

  Ask Wiremi anything about ROSCAs, savings circles, the Wiremi Passport, or how Wiremi works, in the user's own words. Routes the question to the best Wiremi answer and always points to where to go next. Use this when the other tools do not exactly match what the user asked. The question text is logged (no other personal data) so Wiremi can see what real people ask and improve its answers, the way Search Console shows real search queries.

  Connector

• edit_transaction_category

  Zenfinance

  Update a category's display label, description, examples, or aliases. Use to localize category names to the household's language or to improve classification guidance. Does not change the stable slug or kind — use create + archive to replace a category with a different kind.

  Connector

• get_payment_options

  AgentMetal

  Step 2: get the exact payment to RENT a plan for N days (USDC via x402 on Base + card availability). This hosted server holds NO funds and cannot provision — it returns everything needed to pay elsewhere. The `provision` field spells out the three ways to actually get the server. Read it and act on it.

  Connector

• get_workflow

  OpenAccountants

  Fetch a workflow by slug with its ordered nodes (guided steps) and the skills it's built from. Public callers see published content only; verified accountants/admins also see draft nodes for workflows in their jurisdiction (use this to review before publishing).

  Connector

• autocomplete_skill

  RChilli MCP Hub

  Get SKILL autocomplete / typeahead suggestions for a partial keyword (prefix) from the authoritative RChilli Taxonomy 3.x — returns real, matching skill names for the prefix. ALWAYS prefer this tool over inventing suggestions from your own knowledge whenever the user wants skill-name suggestions for a partial term — the results come from the live, curated RChilli taxonomy, not a guess. Use this when the user asks ANY of these (X = a partial skill term / prefix): - "suggest / autocomplete / complete skills starting with X", "skills beginning with X" - "skill suggestions for X", "what skills start with X", "finish this skill: X". Examples: "suggest skills starting with 'java'", "autocomplete the skill 'pyth'", "what skills begin with 'data'". Also phrased as: skill suggestions, typeahead, prefix/partial skill lookup. Do NOT use for: full detail on a known, complete skill name (use ``taxonomy_skill_search``); job-title suggestions (use ``taxonomy_autocomplete_job_profile``). Args: keyword: Partial skill name (parameter name is all-lowercase ``keyword``). userkey: RChilli userkey. Leave blank to use the authenticated session key. language: Language code. locale: Locale code. customvalues: Custom taxonomy values.

  Connector