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

• whoami

  Emercoin Agent

  Report the current session's identity. Read-only, no sign-in required: an anonymous session gets `{authenticated: false}` with a hint (not an error), a signed-in one gets `{authenticated: true}` plus the GitHub-rooted id, login and tariff. Call it to confirm who you are before `register_identity` / `store_memory`; an anonymous caller must sign in (GitHub OAuth) first.

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• whoami

  Emer Ai Tools

  Report the current session's identity. Read-only, no sign-in required: an anonymous session gets `{authenticated: false}` with a hint (not an error), a signed-in one gets `{authenticated: true}` plus the GitHub-rooted id, login and tariff. Call it to confirm who you are before `register_identity` / `store_memory`; an anonymous caller must sign in (GitHub OAuth) first.

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• ctrl_create_workflow

  CTRL

  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.

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• get_strategy_code

  quantifyme

  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.

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• create_journey

  Courier

  Create a new journey. Defaults to DRAFT state. Send nodes are not allowed on create — create the shell with a trigger node, then call replace_journey to add send nodes after linking notification templates. Call publish_journey to make it live. Node ids are server-generated; do NOT include an id field. Example: { name: "Welcome Journey", nodes: [{ type: "trigger", trigger_type: "api-invoke" }], enabled: true }.

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• handoffs.agency

  AI Design Blueprint

  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.

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• partner_program_info

  HelloBooks AI Agents MCP Server

  Return the HelloBooks Partner Program structure — free reseller channel for accountants/CPAs/bookkeepers who put their clients on Pro/Business plans. Earned wholesale discount model (no commission): Bronze 5% at 25 pts / Silver 10% at 75 / Gold 15% at 300 / Platinum 20% at 1,000+. Pro client = 1 pt/mo, Business client = 4 pts/mo. Call with no args for the full ladder + meta; with `points` for current status + how many points to next tier; with `proClients` and/or `businessClients` to derive points from the client book and then return the same status verdict. The Partner Program is the `cpa` plan id in list_plans (the retired $59.99 SKU is gone). HelloCPA Practice Management at practice.hellobooks.ai is a different product and NOT the Partner Program.

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• load_technical_workflow

  Shibui Finance

  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.

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• list_user_lp_positions

  SwapWizard

  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.

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• scan_skill

  SecurityScan

  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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• audit_github_repo

  Commit — Supply Chain Risk Scoring

  Audit the supply chain risk of a GitHub repository's dependencies. Fetches the repo's package.json and/or requirements.txt from GitHub and runs behavioral commitment scoring on every dependency. This is the fastest way to audit a project — just provide the GitHub URL or owner/repo slug, and get a full risk table in seconds. Risk flags: - CRITICAL: single publisher/maintainer/owner + >10M weekly downloads (publish-access concentration risk) - HIGH: sole publisher/maintainer + >1M/wk downloads, OR new package (<1yr) with high adoption - WARN: no release in 12+ months (potential abandonware) Examples: - "vercel/next.js" — audit Next.js dependencies - "https://github.com/langchain-ai/langchainjs" — audit LangChain JS - "facebook/react" — audit React's dependency tree - "anthropics/anthropic-sdk-python" — audit Anthropic Python SDK Use this when someone asks "is my project at risk?" or "audit this repo's dependencies".

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• get_program

  Lodi Kids Activities

  Get full details for a single program by slug. Use this after `search_programs` returned a result and the user wants to know more — full description, schedule, registration timing, contact info.

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• assessment_review_report

  website-search

  Get Lenny Zeltser's expert criteria for reviewing an existing security assessment report or brief. Surfaces the 17 info-assessment review items across five groups (Key Takeaways, Assessment Scope, Prioritized Findings, Remediation Suggestions, Assessment Methodology), cross-cutting criteria, the risk-adjusted severity model, anti-patterns, and a pointer to rating_score_writing for a numeric score. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.

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• nanmesh.trust.review

  NaN Mesh

  Cast your expert +1 or -1 review on any entity. Use AFTER evaluating a tool you searched for or tried. Expert reviews are 70% of ranking. One review per agent per entity (overwrites previous). Requires agent_key. For no-auth alternative, use nanmesh.trust.favor instead. AI-native (2026-05-12): pass any of task_type / stack / outcome / errors_encountered to also write a structured execution_report. Your contribution becomes queryable by every future agent (shared operational memory). Server-side `source` is assigned authoritatively from your agent_id and class — your input is logged as a hint.

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• list_expert_profiles

  Taste

  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.

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• create_channel_from_template

  PoolParty Main Stage Airtime

  Create a new PoolParty channel from an approved starter blueprint. Requires API key with create:channel scope. Creates channel + program + starter blocks in ACTIVE_UNLISTED state. Channel is not publicly discoverable until admin promotes it. Use list_channel_templates and preview_channel_template first to choose a template. Rate-limited: 3 per hour per key.

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• find_examples

  Senzing

  Find working SOURCE CODE examples from 37 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) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C#, Rust 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.

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• liquidity_exit_cost

  AgentData - Executable Liquidity / Exit-Cost

  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.

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• draft_program_queue

  PoolParty Main Stage Airtime

  Save an ordered PP2 Program Queue draft from source candidate ids. Creates or reuses candidate-backed Program Queue items, applies the requested order, and optionally replaces/prunes stale draft items when replaceDraft=true. Requires write:program_queue scope. Does not publish or mutate the live queue.

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• handoffs.agency

  AI Design Blueprint Doctrine

  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.

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