"Learning to Create an Expert Python Program to Exit GitHub" matching MCP tools:

• contacter_expertA

  payotte-mcpA

  Call this ONLY when the user explicitly asks to contact, reach out to, or request a quote/appointment from a Payotte-listed professional. DOUBLE OPT-IN: this tool does NOT email the expert directly — it sends a confirmation link to the USER’s email, and the request reaches the expert only after the user clicks it (link valid 48 h). Tell the user to check their inbox. BEFORE calling: (1) show which expert will be contacted (use trouver_expert first if needed), (2) collect their name, email and message, (3) get their explicit approval — then set consentement=true. Never invent contact details. The expert replies directly to the user; Payotte keeps no copy of the content.

  ConnectorNo auth

• get_strategy_codeA

  quantifymeA

  Get the actual Python code behind a community leaderboard strategy. Use after `browse_community`: pass an entry's `id` here to read its real `feature_engineering()` + `strategy_config()` source so the user can inspect or tweak it. To deploy it unchanged, pass the same id to `one_shot` as `community_id`. Read-only, no signup needed. Args: community_id: The `id` of a community entry (from `browse_community`). Returns: dict with: id, title, username, description, symbol, timeframe, metrics {total_ret, win_rate, profit_factor, n_trades, mdd, sharpe_strat}, and `code` (the full Python source). SHOW the code to the user, and offer to deploy it via one_shot(community_id=...) or tweak it first.

  ConnectorNo auth

• ctrl_create_workflowA

  CTRLA

  Create a CTRL workflow draft. ONE trigger + an ordered chain of up to 20 actions/conditions/utilities. Returns { workflowId, activateUrl }. Pass `targetChain` to pick which chain the workflow runs on — "base" (default, launchpads + Aerodrome + UniV4) or "ethereum" (UniV3 only, no launchpads, no clanker/zora). CRITICAL: call ctrl_get_block_catalog FIRST (with the same `chain` value) to discover field names — every key in trigger.config and chain[].config must exactly match catalog fields[].key. Populate EVERY field the user expressed intent for. For pool.created (Token Launch, Base-only) set launchpad (e.g. ["bankr"]), keywordIncludes ("ai,agent,claw"), keywordMatchMode "any", keywordCategories (["ai_agents"]), safetyEnabled true, safetyRejectHoneypot true, safetyMinScore 50. For cypher.swap set tokenIn ("ETH"), tokenOut ("{{trigger.tokenAddress}}"), tokenOutMode "dynamic", amount (ETH units, e.g. 0.005 — ASK USER if not specified), slippage (15 for snipes), and autoSell* if user wants an exit (autoSellEnabled true, autoSellMode "multiple", autoSellMultiplier 2, autoSellPercent 100, autoSellReceiveToken "USDC"). For notify.telegram set message with {{token}}/{{amount}}/{{txHash}} placeholders. Interview the user for missing critical fields (amount, exit strategy, keywords) — do not silently default.

  ConnectorNo auth

• create_projectA

  KeelenA

  Start building something new: creates a GitHub repo and begins work on it. Use this ONLY when the user wants a NEW repo scaffolded. If they already have a repo, use import_project(repo_full_name) instead — this tool would create a second, empty one beside theirs (list_github_repos() browses what the workspace can see). Scaffolds a new GitHub repo, a bootstrap-mode project, and submits `build_description` as the project's first Roadmap Request. `name` is a concise GitHub short repo slug (no owner); `project_kind` is REQUIRED and one of library | node_library | python_library | service | cli | web_app | godot_game | roblox_game; `preview_command` is required iff `project_kind == 'web_app'`. `engine` is OPTIONAL — one of claude_code | codex | glm | kimi | grok (defaults to claude_code); codex, glm, kimi, and grok require the workspace to have a matching connected credential. `org` is OPTIONAL — a GitHub organization login to create the repo inside (e.g. your company org); omit it to land the repo on a member's personal account. `private` defaults to True. `ci_runs_on` is OPTIONAL — the CI runner labels for the scaffolded workflow, e.g. ["self-hosted", "linux", "x64", "my-fleet"]. Omit it to inherit the workspace default (ubuntu-latest if unset). Labels no registered org runner carries are rejected, because GitHub would queue such a job forever rather than fail it. `framework` is OPTIONAL and `web_app`-only — one of vite | next (defaults to vite). It picks the scaffolded frontend rails: `vite` a vanilla-TypeScript SPA, `next` a Next.js app-router app. Passing it with any other `project_kind` is an error. The repo is created on the GitHub account of a workspace member with repo-create OAuth access (this path has no specific caller user), so the returned `repo` owner is whichever member's token resolved (or the chosen `org`). If no member has repo-create access — or the resolving member can't create in `org` — the call returns an actionable error. Returns {project_id, repo, thread_id, next_action, poll_after_seconds, next_step}; follow next_step (poll get_request_status with the returned thread_id). On the rare arm where the first Request failed to submit, next_action is "call_tool" with next_tool="submit_request".

  ConnectorNo auth

• 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

• get_programA

  AIm Workout JournalA

  Get the active training program with its day templates (planned blocks/supersets and per-exercise targets). Returns null if no active program — to build one, call get_coaching_context(task='new_program') and follow it; never invent a program from generic knowledge. Edit via import_document.

  ConnectorOAuth

• handoffs.agencyA

  AI Design BlueprintA

  Authenticated — submit an agency engagement enquiry on behalf of the caller for a founder-led discovery call. Persists an AgencyHandoff row routed to the agency inbox; the user is contacted by the team for a scoped proposal. Engagement scopes: workflow sprint (rapid agentic workflow implementation), proof-of-concept (validate a specific agent design in a bounded timeframe), pilot support (co-design and validate a production-ready pilot), advisory (ongoing architectural guidance across a product team). WHEN TO CALL: the user has identified a paid hands-on expert engagement need beyond self-service learning, and explicitly asks to talk to the team or book a discovery call. ALWAYS confirm with the user before firing — this creates a sales-visible record. WHEN NOT TO CALL: for free training / partnerships discussion (use handoffs.partnership); for support / billing / access (use handoffs.operator); proactively or as a sales push. BEHAVIOR: write-only, single insert, side-effecting. Auth: Bearer <token> (Firebase ID token, any plan). UK/EU residency. Response confirms the ticket id + scope so the user can reference it.

  ConnectorNo auth

• list_user_lp_positionsA

  SwapWizardA

  Maps to GET /positions. Reads all LP positions a wallet holds on a given chain by calling the SwapWizard API, which discovers positions across all supported protocols: Uniswap V2/V3/V4, Aerodrome, Thena, SushiSwap, PancakeSwap, Algebra, Balancer, Curve, and all Solidly forks. Each position includes positionId, nftManager, dexName, liquidityKind, token addresses, amounts, fees, in-range status, APR, and USD values. EXIT SIGNAL: each position also carries `momentumSignal` for its pool — "exit" means the pool's volume is dying or LPs are leaving (consider zapping out), "watch"/"entry" mean momentum is still alive. When `momentumSignal` is ABSENT, the pool has dropped out of the momentum ranking (momentum exhausted) — also a reason to review and likely exit the position. `momentumScore` is the composite strength. Use this to drive exit decisions, mirroring the entry signal from search_liquidity_pools. The API uses Alchemy's NFT APIs for optimal position discovery — pass an Alchemy RPC URL via rpcUrl for fastest results. Without an Alchemy key, the API falls back to on-chain scanning which may be slower and newly created positions may take longer to appear. IMPORTANT: Always call this BEFORE zap_out_of_lp_position — pass the returned positionId, nftManager, dexName, and liquidityKind directly to zap_out_of_lp_position.

  ConnectorNo auth

• 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

• load_technical_workflowA

  Shibui FinanceA

  Load technical workflow for RSI, MACD, SMA, Bollinger Bands, entry/exit. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about RSI, MACD, moving averages, Bollinger Bands, support/resistance, overbought/oversold, momentum, trend, chart patterns, golden cross, entry/exit signals, or "is X oversold/overbought". Can be combined with other workflow tools.

  ConnectorNo auth

• request_callbackA

  PropContext — Bangalore Real EstateA

  Request an expert callback for a Bangalore real estate project. Use this when the user wants to speak to an expert but is not ready to visit yet. Lower commitment than a site visit — just captures name, phone, and preferred call time. Call this when the user says: - "I want to know more", "can someone call me", "I'd like a callback" - "talk to an expert", "get more information", "not ready to visit yet" - "call me back", "have someone reach out" Required: rera_number, user_name, user_phone Optional: preferred_time (e.g. 'Morning', 'Afternoon', 'Evening') conversation_summary: Summarise in 2-3 bullet points what the buyer is looking for and any questions they raised — this goes to the expert who calls them back. Returns confirmation with callback reference ID.

  ConnectorNo auth

• search_golf_programsA

  PGA GolfA

  Search for upcoming public PGA Coach programs (clinics, camps, classes, and other group events) near a location (required). Use this tool when the user asks to find programs, clinics, camps, classes, or group events — not private one-on-one lessons. For private lesson coaches, use `search_golf_coaches` instead. Internal record identifiers (for example program `id` and coach `slug`) are for tool calls only and must never be shown or mentioned to the user. - Search results include program details plus the hosting coach and facility for each program. - The response also includes top-level `coaches` and `facilities` arrays summarizing the unique coaches and venues in the result set — always present those to the user. - Results are ordered by program start instant and filtered to the requested radius. - Discovery uses nearby PGA Coach profiles (nearest 20 in the radius), then loads up to 30 upcoming public programs per coach in a 180-day window in one batched GraphQL request. Facility coordinates still have to fall inside the radius. - Results are paginated. The pagination cursor carries the remaining nearby programs so additional pages do not repeat GraphQL discovery. Reuse that cursor with the original location and radius. - Direct golfers to the program URL to view details and register. Coach profile and booking URLs are also included when the golfer wants to learn more about the coach.

  ConnectorOAuth

• irr_sensitivityA

  Valuation APIA

  Compute an IRR sensitivity grid across a range of exit multiples and hold periods for a single lump-sum investment. WHEN TO USE: to stress-test how the annualised return varies with exit multiple and holding period before committing to an investment. Complements calculate_irr. WHEN NOT TO USE: when you need one precise IRR for a known exit value (use calculate_irr), or a full valuation (use calculate_dcf). BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access; idempotent and non-destructive. NOTE ON GRID GEOMETRY: the byMultiple grid is computed at the SECOND hold period in hold_periods (default 5 years); the byHoldPeriod grid is computed at a 2.5x exit multiple. RETURNS: JSON object { byMultiple: { "2.0x": 14.9, ... } with IRR values as percentage numbers rounded to 1dp, byHoldPeriod: { "5y": 18.4, ... } }. PARAMETERS: initial_investment (number > 0), exit_multiples (optional array of numbers to test, default [1.5, 2.0, 2.5, 3.0, 3.5]), hold_periods (optional array of positive integers (years) to test, default [3, 5, 7, 10]).

  ConnectorNo auth

• revert_to_versionA

  AIOProductOS MCPA

  Restore an earlier artifact version (F5) to current and return the now-current version: the existing current version is flipped to 'reverted' (kept for the learning signal) and the chosen version becomes current again. A write — not idempotent, since re-running reverts again. version_id is the version you want to RESTORE; get it from list_artifact_versions and never guess it. Optional reason is recorded.

  ConnectorNo auth

• list_expert_profilesA

  TasteA

  Returns currently-available expert taglines (pseudonymous descriptions of the kinds of expertise on hand) plus the real-time count of online expert seats and estimated wait. Use this as a cheap pre-flight check before calling a paid tool. Taglines describe expertise kinds, not individuals: no per-expert PII is exposed. Free.

  ConnectorNo auth

• search_docsA

  Devdocs IoB

  Find which documentation SETS exist whose NAME matches a substring (e.g. "python" → Python 3.x, "react" → React). Returns doc SETS, NOT their content — this does NOT look up a function/method/API name. To search inside a doc for an entry like "Array.map" or "fetch", use search_index (slug + query).

  ConnectorNo auth

• liquidity_exit_costA

  AgentData - Executable Liquidity / Exit-CostA

  Size-aware exit cost, depeg risk, and liquidity fragility for a token on Base. Given a token and a sell size, returns the realized cost of exiting (price impact + fee, in bps and units), the best route across venues, an aggregated fragility score, and — for pegged assets — a depeg-risk score. Computed deterministically from on-chain AMM state, so the result is reproducible and auditable. Three tiers by compute depth (default 'risk'): 'quote' = best-route exit cost for one size; 'risk' = exit cost + fragility (+ depeg for pegged tokens); 'deep' = adds a multi-size exit-cost curve, max-size-before-cost thresholds, and an internal cross-check. Pricing per call (USDC): quote = $0, risk = $0, deep = $0. Status: testnet/preview — payment runs over the x402 HTTP surface, not this tool.

  ConnectorNo auth

• list_domainsA

  mcp-serverA

  List the taxonomy domains the company has indexed — with document counts, expert counts, and coverage levels — so an agent can decide whether to query before spending a Knowledge Token. Returns one row per domain with the canonical `taxonomy_domain` slug, document/chunk counts, expert count, coverage level (expert | partial | none), the single_expert risk flag, and the top contributor by authority. Use the slug as the `domain` filter on a follow-up `query_knowledge` call. Zero Knowledge Tokens consumed.

  ConnectorNo auth

• search_statisticsA

  Fodda Topic & Trend ResearchA

  HARD NUMBERS only: specific figures, market sizes, growth rates, and quantitative data points across Fodda's knowledge graphs. Each result links back to the expert trend it supports. Use when a question asks for a number or statistic — try this BEFORE supplemental data tools, as Fodda's experts may have already curated the answer. For expert quotes, editorial analysis, and narrative interpretation, use search_insights instead. Works on ALL graphs — domain, expert, and report. Search multiple graphs for best coverage.

  ConnectorOAuth

• nifra_learnA

  Nifra docsA

  Walk the guided path to build a nifra app end to end - an ORDERED sequence (create → page route → loader → typed API → typed client → auth → background jobs → deploy), not the random-access search of nifra_docs/nifra_example. Call with no args for the step index; pass `step: N` for that step's goal, how to do it (which tool emits the correct artifact), and how to verify it. Use it when scaffolding a new app or learning nifra's flow - each step composes the other nifra_* tools.

  ConnectorNo auth

• exit_capacityA

  ensotradeA

  How fast a crypto position can be exited and what it costs. Use for "how long to get out of $5M of SOL", "can I exit this position", "what's my liquidity risk". Returns: immediate exit cost by walking the live book; direction skew (up-cost vs down-cost, since a lopsided book matters); time to exit at 5%/10%/20% participation; max exitable in 24h; and how concentrated the depth is on one venue. IMPORTANT when quoting the capacity numbers: they are computed on REPORTED venue volume, which is an UPPER BOUND on genuinely tradable capacity — say so, and treat the time-to-exit figures as optimistic. An "effective volume" adjustment was built and deliberately NOT shipped: comparing how much volume each venue needs to move price one bp collapses into a pure size proxy, because arbitrage equalises price travel across venues. The response carries a live degeneracy_check showing this for the requested asset. Do not present the capacity figures as adjusted or verified volume. `coin` = ticker e.g. 'sol'. `position_usd` = position size in USD. Requires an EnsoTrade Pro API key.

  ConnectorNo auth