generated: '2026-08-14'
method: probed
status: published
source: Live MCP tools/list against https://search.parallel.ai/mcp (HTTP 200, real inputSchema returned)
  plus https://docs.parallel.ai/integrations/mcp/quickstart
notes: 'CORRECTION vs the 2026-07-20 round: the Search MCP tools are named `web_search` and `web_fetch`,
  not `search`/`extract`. Names and input schemas below are taken verbatim from a live anonymous tools/list
  call. The Task MCP is auth-gated — tools/list returns {"error":"Authentication required"} — so its four
  tools are recorded from the provider''s own docs (names + descriptions only); their input schemas need
  authenticated introspection.'
servers:
- name: parallel-search
  transport: streamable-http
  url: https://search.parallel.ai/mcp
  auth: none
  probe:
    method: tools/list
    http_status: 200
    tools_returned: 2
    checked: '2026-08-14'
  notes: Free with no account or API key required. Search runs in `basic` mode and excerpts per call are
    capped near 25,000 characters. An optional Bearer API key raises rate limits. An OAuth-capable variant
    is documented at https://search.parallel.ai/mcp-oauth.
  tools:
  - name: web_search
    description: Perform web searches and return LLM-friendly results, including excerpts that are usually
      sufficient to answer directly without a follow-up fetch.
    input_schema:
      required:
      - objective
      - search_queries
      properties:
      - name: objective
        type: string
        description: Natural-language description of what the web search is trying to find.
      - name: search_queries
        type: array
        description: Concise keyword search queries, 3-6 words each; at least one required, 2-3 recommended.
      - name: session_id
        type: string
        description: Stable conversation identifier; used for free-tier rate limiting.
      - name: model_name
        type: string
        description: Identifier of the calling LLM model; product analytics only.
    rest:
    - v1_search_v1_search_post
  - name: web_fetch
    description: Fetch and extract relevant content from specific web URLs. Use only when web_search excerpts
      are insufficient.
    input_schema:
      required:
      - urls
      properties:
      - name: urls
        type: array
      - name: objective
        type: string
      - name: search_queries
        type: array
      - name: full_content
        type: boolean
      - name: session_id
        type: string
      - name: model_name
        type: string
    rest:
    - extract_v1_extract_post
- name: parallel-task
  transport: streamable-http
  url: https://task-mcp.parallel.ai/mcp
  auth: oauth
  probe:
    method: tools/list
    http_status: 200
    body: '{"error":"Authentication required","detail":"Missing x-api-key or Authorization header..."}'
    checked: '2026-08-14'
    interpretation: Live but auth-gated; tool schemas require authenticated introspection.
  oauth:
    protected_resource_metadata: https://task-mcp.parallel.ai/.well-known/oauth-protected-resource
    authorization_server: https://platform.parallel.ai
    scopes:
    - key:read
    see: scopes/parallel-scopes.yml
  notes: 'Requires OAuth (dynamic client registration + PKCE) or a Parallel API key as a Bearer token
    from https://platform.parallel.ai. Async architecture: start a task, poll status, fetch the result
    in a later turn.'
  tools:
  - name: createDeepResearch
    description: Initiates a deep research task; multi-step research with citations.
    source: https://docs.parallel.ai/integrations/mcp/task-mcp
    rest:
    - tasks_runs_post_v1_tasks_runs_post
  - name: createTaskGroup
    description: Initiates a task group to enrich multiple items in parallel.
    source: https://docs.parallel.ai/integrations/mcp/task-mcp
    rest:
    - tasks_taskgroups_post_v1_tasks_groups_post
  - name: getStatus
    description: Lightweight status check for an in-flight task (~50 tokens).
    source: https://docs.parallel.ai/integrations/mcp/task-mcp
    rest:
    - tasks_runs_get_v1_tasks_runs__run_id__get
  - name: getResultMarkdown
    description: Retrieves the final output of a deep research or task group as markdown.
    source: https://docs.parallel.ai/integrations/mcp/task-mcp
    rest:
    - tasks_runs_result_get_v1_tasks_runs__run_id__result_get
deployment:
  mode: remote
  endpoint: https://search.parallel.ai/mcp
  verified: probed
  probe: live
  tools: 2
  checked: '2026-08-12'
  source: catalog MCP census
mcp_as_client:
  note: Parallel is also an MCP CONSUMER — the Task API can call external MCP servers as tools during
    a run.
  docs: https://docs.parallel.ai/task-api/mcp-tool-call
crosswalk: mcp/parallel-tool-crosswalk.yml