"A server to provide a Python REPL environment" matching MCP tools:

• research_nicheA

  KDP Niche ResearchA

  Get detailed KDP niche intelligence for a specific keyword. Returns demand score, competition score, Amazon BSR range, estimated monthly revenue, review threshold, average book pricing, and data freshness for the given Kindle publishing niche. Pricing tiers (x402 USDC on Base network): - $0.03 per query for cached/pre-seeded keywords - $0.10 per query for live on-demand research (new keywords) Use the free `list_niches` tool first to see available keywords. Payment options: 1. Set the KDP_X_PAYMENT environment variable on the server for auto-pay. 2. Pass a valid x402 payment header via the x_payment argument. 3. If neither is set, the tool returns structured 402 payment instructions that an x402-capable agent can use to construct and retry payment. Args: keyword: The KDP niche keyword to research (e.g. "romance novels", "keto cookbook") x_payment: Optional base64-encoded x402 payment header. Takes precedence over the KDP_X_PAYMENT environment variable.

  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

• create_api_keyA

  AIDataParserA

  Start here if you do not have an AIDataParser API key. Provide the user's `email` and receive a live adp_live_ API key with 50 free credits — no card, no signup form. Configure it on this MCP server as `Authorization: Bearer <api_key>` to unlock parse_document, parse_text and infer_schema. The key is returned ONCE and is never shown again, so surface it to the user and store it. Ask the user for their address; do not invent one. Free — does not consume a credit.

  ConnectorNo auth

• set-envA

  mcpA

  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.

  Connector

  Destructive

  No auth

• import_activityA

  SportsTrackLiveA

  Import the user's trace file (GPX, TCX, IGC, SBP or FIT, max 8 MiB) into THEIR SportsTrackLive account permanently — full analysis, 3D replay, appears in their profile with their default privacy setting. REQUIRES the user to be connected via OAuth (this MCP server supports it; the client starts the flow). For a user without an account, use create_ephemeral_replay instead. Provide the file exactly like analyze_activity_file (upload_id / file_url / file_base64).

  ConnectorNo auth

• findagent_create_code_draftA

  FindAgentA

  Persist a CODE-BUNDLE draft from YOUR OWN GitHub repo — for an agent that ships RUNNABLE code (use this when findagent_import_repo returned grounding.code_bundle). Pass the basics (title/slug/tagline/description/category_slug + example_prompts: 1-5 required) + the detected contract from import_repo's grounding.code_bundle (runtime, entrypoint {path,export}, mcp {mode,command,args}, ui {path}, allowed_hosts, credential_slots, skills), overriding any you want to correct. The server RE-PULLS the repo (your stored GitHub token — private repos work, server-side), snapshots + scans the code, validates the manifest, and creates a status=draft agent you own; then call findagent_submit_for_review IN THIS MCP CLIENT to set price + confirm originality/prohibited + submit it (the web is only an optional preview). IDEMPOTENT BY REPO: if you already have a draft for this repo, calling this again OVERWRITES that same draft (basics + manifest + a fresh re-pull/re-scan) instead of creating a duplicate — so iterate freely (the response `updated` flag is true on overwrite). NEVER send secret credential VALUES — credential_slots declare shape (ref/env/label/allowed_hosts/type) only. Building/running the code stays gated until an admin approves it. Which tool for which part: Instructions, Skills and Actions are authored as an Agent Plugins package and sent as files with findagent_create_package_draft; Code (a Node or Python program) uses findagent_create_code_draft from your own GitHub repo; an MCP server you already run uses findagent_create_remote_mcp; findagent_create_draft saves a declarative listing from findagent_import_repo grounding. Code part: start from https://github.com/FindAgent/agent-template (Node and Python variants). Building any part with an assistant: provider-neutral playbooks at https://github.com/FindAgent/agent-creators (start with AGENTS.md).

  ConnectorOAuth

• get_quickstartA

  Vector Panda DocumentationA

  The Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.

  ConnectorNo auth

• ui_builder_move_design_homeA

  Compose Preview CatalogsB

  Move a design's canonical home between this server and a repository checkout. This changes real authoritative state: quote the exact `baseRevision` and current `sourceHome` from ui_builder_get_design, provide a stable `operationId`, and name the new `targetHome`. The old server record remains as a retained copy pointing at the new home. The reply is an idempotent operation outcome with the new revision; a stale revision or changed source home is refused rather than overwriting a concurrent move. Unless the person already chose this move, call first with `dryRun: true`: it changes nothing and returns the choices to put to them — or, when your client supports form elicitation on this connection, asks them in a form and, if they choose to move, returns this move's outcome.

  ConnectorNo auth

• list_live_environmentsA

  Power Automate MCP Server by Flow StudioA

  List all Power Platform environments you belong to, directly from Power Automate. Returns id, displayName, sku, location, and state for each environment. mode=all (default) and mode=member: every environment you are a member of. mode=admin: only those you administer; errors rather than guessing if admin access cannot be determined. isAdmin means you hold the ListAnyFlow permission there — the capability list_live_flows mode=admin needs. It is null, never false, when the platform did not tell us. isMember is true for every environment returned.

  ConnectorNo auth

• deployA

  mcpA

  Deploy an application to sota.io. The platform auto-detects your framework and builds a Docker image automatically: - Next.js: Detected via next.config.js/ts. Add output: 'standalone' to next.config for optimal builds. - Node.js: Detected via package.json with a "start" script. Works with Express, Fastify, Koa, Hapi, etc. - Python: Detected via requirements.txt or pyproject.toml. Works with Flask, FastAPI, Django. - Custom Dockerfile: If a Dockerfile exists in the project root, it takes priority over auto-detection. Use this for Go, Rust, Java, or any other language. The EXPOSE directive in the Dockerfile is used to detect the app port automatically. THREE WAYS to supply the source code — pick EXACTLY ONE: 1. **files** (inline source from AI): Pass a map of relative paths to UTF-8 text content. Best when you've just generated a small app in this conversation and want to deploy it without any filesystem step. Up to 200 files, 10 MB total. Include the framework manifest (package.json, requirements.txt, or Dockerfile) so auto-detection works. 2. **git_url** (clone a public repo): Pass an https://, git://, ssh://, or git@host:path URL. We shallow-clone it (--depth=1 --single-branch) on the server and deploy. Optional git_branch picks a non-default branch. Only public repos are supported in v1. Max 200 MB after clone. 3. **directory** (local filesystem): Pass an absolute path. Only works when the MCP client has filesystem access (Claude Code / CLI; not Claude.ai web). Defaults to the current working directory when omitted. IMPORTANT: Your app MUST listen on the PORT environment variable. For auto-detected frameworks (Next.js, Node.js, Python) PORT is 8080. For custom Dockerfiles, the port is auto-detected from the EXPOSE directive (e.g. EXPOSE 3000 sets PORT=3000). If no EXPOSE is found, it defaults to 8080. Every project includes a managed PostgreSQL 17 database. Six environment variables are auto-injected into your container — no manual database configuration needed: DATABASE_URL (full connection string), PGHOST, PGPORT, PGUSER, PGPASSWORD, and PGDATABASE. Libraries that follow libpq conventions (node-postgres, pgx, psycopg2, Django) pick up the PG* variables automatically with no configuration. If your app needs database migrations, run them on startup. Deployments use blue-green strategy for zero downtime. The old container keeps running until the new one passes health checks (60s timeout). Use get-logs to monitor build progress. Files matching .gitignore, .git/, node_modules/, .env, and .DS_Store are excluded from the archive.

  Connector

  Destructive

  No auth

• list_group_envsA

  seekrit — secrets for agentsA

  List the environments belonging to one shared GROUP — a group holds a separate value set per slug, so its `production` differs from its `staging`. Use this when you already have a group and want its own environments; use list_envs for an application's, and list_env_groups to see which groups an application environment pulls from. Returns Environment rows with `groupId` set: [{ id, name, slug, groupId, createdAt }].

  ConnectorNo auth

• compose_groupA

  seekrit — secrets for agentsA

  Compose a shared group into an application environment, so that environment resolves the group's secrets as well as its own. Safe to repeat — composing an already-composed group just updates its position. Use uncompose_group to undo, and list_env_groups to see the current order. No key material involved, so it runs here. Returns the composed { groupId, slug, name, position }.

  ConnectorNo auth

• uncompose_groupA

  seekrit — secrets for agentsA

  Remove a composed group from an application environment. The group and its secrets are untouched — only the link is dropped — but the environment stops resolving every name it inherited from that group, which will break a workload still reading one. Check list_env_groups first, and use delete_group to destroy the group itself. Safe to repeat. Returns { ok: true }.

  ConnectorNo auth

• delete_secretA

  seekrit — secrets for agentsA

  Delete a secret from an environment, discarding its ciphertext and every version. Irreversible — restore_secret CANNOT bring it back (that only rolls back within a surviving secret's history), and re-creating it means setting the value again on the local crypto plane. Prefer restore_secret to undo a bad write. Confirm intent before calling. Returns { ok, name } — or { ok, queued: true, changeRequestId } if the environment requires approval, in which case NOTHING was deleted until a human approves.

  Connector

  Destructive

  No auth

• GetFredSeriesDataA

  Fintel Discovery — Financial Intelligence for AI AgentsA

  Fetch time-series observation data from FRED for a specific economic series. Returns date + value pairs with series metadata (title, units, frequency). Use SearchFredSeries first if you don't know the series ID. Use this tool when: - You need historical macro data (rates, inflation, GDP, unemployment) - You want to provide macro context alongside advisor or fund data - You are comparing economic conditions across time periods - You need the current value of a key economic indicator Pass observation_start / observation_end to limit the date range. Pass frequency to aggregate (e.g. 'm' for monthly, 'q' for quarterly). Requires FRED_API_KEY environment variable (free at fred.stlouisfed.org). Source: Federal Reserve Bank of St. Louis FRED API.

  ConnectorNo auth

• list_environmentsA

  WebRun Browser AutomationA

  List available browser environments (persistent profiles) for this account. Returns environment IDs needed for persistent sessions in browser_task or create_session. Read-only. NOTE: workflows and agents use the connection's environment automatically — you rarely need this tool for those, and should not ask the user to choose an environment.

  ConnectorNo auth

• get_environment_pinsA

  RoutebaseA

  List which version each environment currently pins for this spec, whether the pin is frozen, and where it came from. Use this to see what each environment resolves to; to change a pin use promote_version. Requires project context.

  ConnectorAPI key

• list_snapshotsA

  RoutebaseA

  List the project's data snapshots — recorded resource states that can be restored to return an environment to a known point. Pass snapshotId to get one snapshot with its recorded resources. Use this to browse snapshots; to record a new one use record_snapshot. Requires project context.

  ConnectorAPI key

• 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

• PublishSubgraphA

  GraphOS MCP ServerA

  Publish a subgraph schema to a variant and start composition, the same write that `rover subgraph publish` performs. Returns whether the subgraph was created or updated, any composition errors, and the launch that started. This changes the schema registry and can change what the router serves. Run RunSubgraphCheck first to see the effect on client operations. Provide the graph ID, the variant name, the subgraph name, and the schema as SDL. Provide the routing URL when you add a subgraph or move its endpoint. Optionally provide a revision label and the git branch and commit.

  Connector

  Destructive

  No auth

• classify_imageA

  identifAI MCP ServerA

  Upload an image file to detect whether it is human-made or AI-generated. Provide the image content as a base64-encoded string. Returns a classification identifier for async result retrieval. WARNING: base64 encoding adds ~33% overhead to the original file size. For images larger than 4 MB, use classify_image_url instead and provide a publicly accessible URL to avoid payload size issues. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).

  ConnectorNo auth