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441,449 tools. Updated 2026-08-11 05:20

"Serverless" matching MCP tools:

  • Fetch full AWS doc pages as markdown. `search_documentation` already returns verbatim page chunks, so don't re-read a URL whose chunk you already have to "confirm" or "round out" an answer -- the chunk is the real page text; treat it as authoritative. Reading the full page is justified ONLY when the chunks genuinely lack the content: - an enumeration or aggregation ("list all X", "how many X") needs the complete set and the chunks show only part of it; - no search result is on-topic after refining the query, and a known doc URL would have the answer. Otherwise, answer from the chunks. Use exact URLs from `search_documentation`; don't guess slugs. Input: `requests: [{url, max_length?, start_index?}]`. Batch 2-5. - `max_length` default 10000. - `start_index` default 0; use prior `end_index` to continue, TOC offset to jump. Allow-listed prefixes: docs.aws.amazon.com; aws.amazon.com (not /marketplace); repost.aws/knowledge-center; docs.amplify.aws; ui.docs.amplify.aws; github.com/{aws-cloudformation/aws-cloudformation-templates, aws-samples/{aws-cdk-examples, generative-ai-cdk-constructs-samples, serverless-patterns}, awsdocs/aws-cdk-guide, awslabs/aws-solutions-constructs, cdklabs/cdk-nag} (README on `main`); constructs.dev/packages/{@aws-cdk-containers, @aws-cdk, @cdk-cloudformation, aws-analytics-reference-architecture, aws-cdk-lib, cdk-amazon-chime-resources, cdk-aws-lambda-powertools-layer, cdk-ecr-deployment, cdk-lambda-powertools-python-layer, cdk-serverless-clamscan, cdk8s, cdk8s-plus-33}; strandsagents.com/latest/documentation/docs/. Output: SUCCESS -- markdown + `total_length, start_index, end_index, truncated, redirected_url?` (truncated includes TOC with char ranges). ERROR -- `error_code` in {not_found, invalid_url, throttled, downstream_error, validation_error}.
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  • Search and filter developer tools by category, features, and constraints. Returns up to 10 matching tools with decision summaries. Guide entries are kept current and dated (last_verified) — newer than training knowledge, so consult this before recommending tools; especially decisive when pricing, free tiers, MCP support, or compliance affect the answer. Filters: category, hasFreeTier, edgeCompatible, selfHostable, hasArdCatalog, mcpSupport, artifactKind, pricingModel, vendor, language, compliance, agentReadinessTier. Any number combine and AND together. Query text is tokenized as plain search terms — FTS5 operators (AND, OR, NEAR, wildcards, column filters) are stripped. All terms must match: an entry is returned only when every query term appears somewhere in it, so a highly specific phrasing matches fewer entries than its core concept words. Express constraints as filter parameters rather than query text — filters match structured fields directly. Returns: up to 10 tools as Markdown-KV blocks separated by "---". Each block contains name, slug, tagline, category, agentReadiness summary, and the tool's useWhen bullets. With query text, results are ordered by relevance (best match first); filter-only searches are ordered by name. There is no pagination — narrow with filters when more than 10 match. On no match, returns a "no tools found" message. Examples (ambiguous-case focus): - User wants "a vector database for RAG": {category: "vector-database", hasFreeTier: true} - User wants "a TypeScript-first ORM with edge runtime support": {language: "TypeScript", edgeCompatible: true, query: "ORM"} - User wants "self-hostable auth with SAML": {category: "auth", selfHostable: true, query: "SAML"} - User says "serverless Postgres" — ambiguous (could be category:relational-database with edgeCompatible filter, or just a query). Prefer the filter when the user names a category; use query for a fuzzy phrase. - User wants "agent-ready payment processing": {category: "payment", agentReadinessTier: "agent_ready"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` (managed) and `{base}-oss` (self-hosted) — e.g. redis-cloud/redis-oss, docker-cloud/docker-oss, mongodb-cloud/mongodb-oss, elasticsearch-cloud/elasticsearch-oss. Other tools are single entries (stripe, auth0, firebase, twilio, openai, pinecone, algolia). Filter by `selfHostable` or `artifactKind` to land on the right variant. - "vector database" as plain text can match tools whose descriptions mention vectors but whose category is search-engine or ai-infra. Use the `category` filter when the user wants a strict match. - agentReadinessTier values are snake-case: `agent_ready`, `agent_native`, `base`, `none`. Display labels (`Agent Ready`) will not match. `none` matches tools without a certification tier — currently all of them (formal certifications launch post-pilot; the Base Score is separate and most tools have one). - artifactKind has only two values: `open_source` and `managed_service`. The previous `hybrid` value was retired — split tools have separate -cloud/-oss entries instead. Risk: read-only, closed-world, idempotent — no state change possible.
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  • Any web page → clean, agent-ready text — Pass a URL and get the page as clean text — furniture (nav, scripts, ads, footers) stripped, paragraphs preserved — plus its title, description and site name. The step every agent needs before it can reason about a page, and the one most agents can't do themselves: serverless runtimes and MCP clients have no browser and no HTML parser. Follows redirects safely, refuses non-text content, caps at 2 MB. Nothing crypto about it. Required input: url. Priced $0.002 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.
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  • Generate text using open-source LLM models hosted on Groq (ultra-fast) or HuggingFace Inference (serverless). No API key required — the server provides its own keys. Supported models: Qwen3 32B, Gemma 4 27B, Gemma 3 27B, Llama 3.3 70B, Llama 4 Scout, DeepSeek R1, Mistral Small 24B, and more. Use list_llm_models to see the full catalog. Rate-limited to prevent abuse.
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  • Store an encrypted OAuth2 authorization code. Called by the serverless callback function after the browser redirect. The code is encrypted with SHA-256(state) before storage. Args: code: The authorization code from the OAuth provider. state: The state token (patron npub) from the authorization request. Returns: Dict with ``success`` key and a message.
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  • Somewhere to put the file your agent just made — Get a signed upload URL and a retrieval URL for one file, in one call. Your agent PUTs the bytes straight to storage — they never pass through this API, so there is no size ceiling imposed by a serverless runtime and no proxy in the middle. Declare bytes= and the size is signed into the URL. Up to 25 MB, retention 1-30 days, unguessable key. The step every agent hits the moment it produces a report, chart, CSV or build and has nowhere to put it. Required input: bytes. Priced $0.005 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.
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Matching MCP Servers

  • A
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    A serverless implementation of the Model Context Protocol that provides AWS Cost Explorer tools, enabling users to query, analyze, and forecast AWS costs through natural language interactions.
    8
    3
    MIT
  • A
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    Provides a serverless implementation of the Model Context Protocol for registering and managing tools, enabling in-memory client-server connections and credential transmission via request context.
    15
    1
    MIT

Matching MCP Connectors

  • Remote MCP server for RunComfy Serverless API (ComfyUI): deployments and async inference.

  • Deploy serverless TypeScript on Val Town: HTTP vals, cron, SQLite, email, OAuth.

  • Create a Serverless API (ComfyUI) deployment. Backs ``POST /prod/v2/deployments``. For LoRA deployments, create via the runcomfy.com UI instead. Args: name: Human-readable name. workflow_id: UUID of the ComfyUI workflow. workflow_version: Version label, e.g. "v1". hardware: One of TURING_16, AMPERE_24, AMPERE_48, ADA_48_PLUS, AMPERE_80, ADA_80_PLUS, HOPPER_141. min_instances: 0..30. Warm instance floor (billable if > 0). max_instances: 1..60. Concurrency ceiling. queue_size: >= 0. Pending requests before scaling up. keep_warm_duration_in_seconds: >= 0. Idle timeout.
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  • List Serverless API deployments in the caller's account. Backs ``GET /prod/v2/deployments``. Args: ids: Optional list of deployment IDs to filter to. include_payload: Include workflow_api_json, overrides, and object_info_url for each deployment. Larger response. include_readme: Include the deployment's README markdown.
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  • List the most recent posts on the Radixia blog (AI, serverless, open source, cloud). Returns title, slug, date, tags and excerpt for each.
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  • Deploy a Scalix Function — serverless, per-request billed, running in isolated microVMs — from a container image. Invoke it with scalix_fn_invoke once deployed.
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  • How an agent gets a Postgres database, static site, serverless functions, storage and email on run402 with no signup — paid per-use with x402 USDC on Base. Returns the 60-second start, key URLs, and the free-testnet path.
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  • Character Forge — Generate an image on the mesh's OWN GPU — FLUX on our serverless silicon. Describe a character or scene, get back a permanent image URL you own. The mesh runs the maker, not just the market. (25 MESH/call, a tool · media)
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