"A server for finding Python project ideas or resources" matching MCP tools:

• feed_sources

  data-breach-detector

  List the public disclosure feeds this server aggregates, how many disclosures are cached per source, each source's newest item and an honest staleness flag, plus cache ages. Takes no arguments. Also states the scope plainly: public feeds only — no .onion access, no arbitrary fetching or crawling, no credential or PII output. Check this first if another tool's answer looks thin: a stale live feed is a finding, not background noise.

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• create_project

  EchoRelay

  Create a new project on your account so an agent can bootstrap from a fresh account. The slug is derived from the name and validated server-side (format, reserved words, uniqueness). Each plan includes a fixed number of active projects (free tiers one; paid plans more — see list_subscription_plans); at the limit this errors — if an existing project can host this integration, skip create_project and call create_project_token against it instead of adding another. Requires an ACCOUNT-scoped token and the `config` scope. Returns the created project ({id, slug, name, apiBaseUrl, archived}); call create_project_token next to mint a token for it.

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• find_candidates

  DevMatch - AI Recruiting & Mission-Aligned Engineer Discovery

  Rank engineers for a role or project by their verified open-source contributions and other public work. Input: pass the richest context you have — (1) a full job description (most common), (2) a synthesized brief after reviewing a company's public repo (README + stack + role needs — preferred over a bare URL when you've evaluated the project), (3) a public github.com repo URL (server fetches README/topics; private repos → paste README as text), or (4) an informal role brief. Longer, more specific input ranks better. Optional `location` narrows to a city, country, or ISO country code. Returns up to limit ranked candidates (default 20, max 50) with full inline profiles in structuredContent (view=candidates): login, name, bio, location, followers, reach (cross-platform audience percentile + reach), html_url, top_repos, signals, matched_projects, location_match, and contact (top_topics is optional and usually absent). Results never include bots, CI, or service accounts — they are filtered out automatically. Use the optional `exclude` array (GitHub logins or org names) to drop additional accounts. AGENT MODE: consume structuredContent only. HUMAN MODE: MCP App panel shows candidate cards; use server instructions for text-only hosts. Do not call get_profile for handles already in these results unless the user asks for deeper detail.

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• add_audio

  Clueso

  Add a music track or sound effect that plays as a project-level audio layer over all clips. Does NOT consume a clip slot. Use this for background music or a soundtrack that should play under the existing timeline. (For inserting an audio file as its own sequential clip with auto-transcription, use add_clips(kind='video') with an audio mime_type instead.) - type="music": requires src, name, source_duration. `src` is either the `src` from a find(type='music') result, or an mcp_upload_id (prefixed `mup_`) from upload_file — upload ids resolve to a presigned URL server-side. For a Freesound result the `src` is an opaque handle; pass it through unchanged and Clueso downloads + hosts the original server-side (do not try to fetch it yourself). Get `source_duration` from the find result, or from analyze_audio mode='features' (data.duration_ms / 1000). Optional: guide_start_time, guide_end_time, music_start_time, music_end_time (trim the source track), volume, loop, fade_in, fade_out. - type="sfx": pass the `src`, `name`, and `source_duration` from a find(type='sfx') result, plus guide_start_time (Freesound `src` is an opaque handle, resolved server-side just like music). Optional: volume. (Legacy: a fixed-library `sfx_key` like 'whoosh' still works instead of src.) Concurrency: whole-project mutation (conflict domain: the entire project) — serialize; do not run in parallel with ANY other mutation on the same project_id (including element/voiceover edits). Size your clips BEFORE calling add_audio, or pass guide_end_time explicitly — the default ('end of project') is captured at call time and will NOT auto-extend if clips are added or resized afterwards.

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• analyze-progress-and-forecasts

  cupix-compass

  Analyze Work In Place (WIP) progress from SiteInsights(SI) — completion rates, delays, and forecasts. Generates a progress report: overall completion, progress by category/vendor/level, delay analysis, and estimated completion dates. **WORKFLOW:** - **Default**: call this tool with NO arguments. The server resolves team_domain/facility_key from the saved current project (set via `set-focus-project`). Do NOT call `list-my-projects` again just to obtain these values — the saved selection is the source of truth. - Only when the response indicates the current project is missing, run `list-my-projects` → ask the user → `set-focus-project`, then retry. - Pass explicit arguments **only** when the user clearly wants to analyze a different project than the saved one. Args: team_domain: Omit by default. Pass only to override the current project. facility_key: Omit by default. Pass only to override the current project. user_intent: REQUIRED. Pass the user's original question or request verbatim. Used for analytics only, does not affect results. Returns: Progress analysis report with completion rates and forecasts

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• get_product_details

  Demand Discovery AI

  Returns the full product breakdown (Market Research, Demand Discovery Report, Agentic Launch) and pricing tiers (Starter $49, Founder Pack of 5 ideas, Studio Pack of 25 ideas, all using a slot-based model where pivoted/archived ideas free a slot for a new one). Use when a user asks "what does Demand Discovery AI include?", "how much does it cost?", "what's in the report?", or wants concrete product information. Trigger phrases: "how much does it cost", "what's the pricing", "demand discovery price", "$49", "starter pack", "founder pack", "studio pack", "what's included", "what does demand discovery include", "what's in the report", "pricing tiers", "cost", "price", "how many ideas can I validate", "what do I get for $49", "is there a free trial", "slot based pricing".

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• cti_get_cross_server_routes

  website-search

  Get Lenny Zeltser's CTI cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `cti_load_context`. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.

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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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• search_datanexus_tools

  DataNexus MCP

  Find the right DataNexus tool by describing your task in plain English. Read-only. No side effects. Call this before any other DataNexus tool to reduce context load from 40000 to 800 tokens. query: Plain English description of your task e.g. check if a Python package has CVEs or look up a UK charity by name. Required. domain: Restrict results to one sub-server: nonprofit, security, compliance, domain, legal, govcon, or regulatory. Optional. Returns matching tool names and parameter hints you can call directly. Do not call this recursively or to validate results — use validate_tool_output for that. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="search_datanexus_tools", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

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• set-env

  mcp

  Set an environment variable for a project. Variables are encrypted at rest (AES-256-GCM) and injected at container runtime. NOTE: DATABASE_URL, PGHOST, PGPORT, PGUSER, PGPASSWORD, and PGDATABASE are all auto-injected for the managed PostgreSQL database — you do NOT need to set any of them manually. The PORT variable is auto-managed: 8080 for auto-detected frameworks (Next.js, Node.js, Python), or auto-detected from the Dockerfile EXPOSE directive for custom Dockerfile builds. IMPORTANT: Changing env vars does NOT auto-redeploy. You must call deploy or use the redeploy API endpoint to apply changes. For Next.js apps, NEXT_PUBLIC_* variables must be set BEFORE deploying since they are embedded at build time.

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• open_project_workspace

  XMemo

  Open the Project Workspace. With no project reference it always opens Project Workspaces Home — the caller's authorized project list — even when exactly one project is accessible. An exact project_id, or a project name/alias matching exactly one authorized project, opens that project's eight tabs (overview, memory, todo, decisions, documents, conversations, timeline, settings); multiple or no matches return Home with candidates or an honest no-match state. For a quick text-only status, blockers, or next-actions answer use get_project_summary. Explicit standalone TODO or Ledger intent keeps using open_todo_board or open_ledger.

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• get_tier1_recommendations

  Tier1 IT Assessment

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

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• get_resource_schema

  Control Plane

  Return the exact object schema and REST API endpoints for a Control Plane resource kind, so you can author an accurate manifest for `cpln apply` or call the API directly. ALWAYS call this FIRST whenever you are about to write a cpln apply YAML/JSON file, set up CI/CD that applies Control Plane resources, or build a request body for the REST API — do not hand-write a manifest or guess field names from memory. Pick a `kind` and pass `org` (and `gvc` for workload/identity/volumeset). Large schemas come back as a shallow map with deep sections collapsed to {"_expand":"<path>"} stubs; pass `path` (e.g. "spec.containers") to expand a section on demand. Server-managed fields (id/status/version/etc.) are already removed; `name` and `kind` are required at create.

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• render_diagram

  Diagrams MCP

  Render a mingrammer/diagrams Python snippet to PNG and return the image. The code must be a complete Python script using `from diagrams import ...` imports and a `with Diagram(...)` context manager block. Use search_nodes to verify node names and get correct import paths before writing code. Read the diagrams://reference/diagram, diagrams://reference/edge, and diagrams://reference/cluster resources for constructor options and usage examples. Args: code: Full Python code using the diagrams library. filename: Output filename without extension. format: Output format — ``"png"`` (default), ``"svg"``, or ``"pdf"``. download_link: If True, return a temporary download URL path (/images/{token}) that expires after 15 minutes; if False, return inline image bytes. Defaults to True (URL) — set ``DIAGRAMS_INLINE_DEFAULT=true`` on the server to flip the default. SVG/PDF and PNGs larger than the inline limit always use a download link.

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• brainstorm_names

  Atom.com — Premium Domains

  Come up with name ideas for a startup, business, product, app, or project — every suggestion is a real, verified-buyable premium domain from Atom's curated marketplace, with its price. ALWAYS use this (never invent names yourself) when the user asks to "come up with a name", "suggest names", "brainstorm names", "name my company", or any similar naming request: names invented without verification are almost always already taken. Describe the business as the concept; pass preferred extensions if the user stated any. Same results as search_brandable_domains — use either, not both. Returns results[] of buyable premium listings, each with: domain, price (USD), logo, style_tags, category, and url (the Atom buy page). Present them as the name suggestions, with prices and links.

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• brain_get_thought_graph

  personalbrain-mcp

  Get a thought's full connection graph. Requires npub for credit billing. ⚠️ NOT AUTHORITATIVE FOR RECENT CHANGES. Served through the vendor's cached graph layer (Azure App Service response cache), which lags writes by hours-to-days and reflects creates but NOT updates or deletes — it can return renamed/retyped thoughts with their old values and even serve thoughts that were already deleted (upstream: TheBrainTech/thebrain-api-quickstart-python#2). Use this for fast traversal of established structure and for finding older thought IDs. Do NOT use it to verify a recent write — confirm mutations by ID with get_thought, which reads the authoritative command store.

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• brain_get_thought_graph_paginated

  personalbrain-mcp

  Cursor-based paginated traversal of a thought's connections. Requires npub for credit billing. ⚠️ NOT AUTHORITATIVE FOR RECENT CHANGES. Same cached graph layer as get_thought_graph (upstream: TheBrainTech/thebrain-api-quickstart-python#2) — lags writes by hours-to-days and does not reflect updates or deletes. Use for traversal/ID discovery, never as read-after-write verification; confirm mutations by ID with get_thought.

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• axint.activate

  Axint

  Run a source-free compiler smoke test through the real Axint pipeline. Use immediately after installing or connecting Axint so the current agent proves it did more than start the MCP server. Use: call immediately after install or first MCP connection; use validate or run for project checks. Inputs: format changes rendering only; the smoke test has no project inputs. Effects: read-only built-in compiler smoke test; writes no files and uses no network.

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• get_research_theses

  voxodds

  Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice.

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• search_docs

  Devdocs Io

  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).

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