brave-answers-mcp

brave-answers-mcp

MCP server that wraps the Brave Answers API, enabling synchronous Q&A and asynchronous deep research with job submission, status polling, and result retrieval.

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README

brave-answers-mcp

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TypeScript MCP server (stdio) wrapping the Brave Answers API (POST https://api.search.brave.com/res/v1/chat/completions, header X-Subscription-Token). The Brave Answers plan is billed separately from the Brave Search plan — the key is provided as the BRAVE_ANSWERS_KEY env var (never commit or print it).

Why it exists: no MCP wraps this endpoint (verified 2026-08), and research-mode calls run ~90–300s — far beyond a blocking agent tool call. This server adds the missing async submit → status → result semantics: the job lives in the MCP server process, so it outlives bash timeouts and turn boundaries. The SSE parser was ported from a working production browser implementation (streaming pass-through only) and extended with the <answer> tag and display normalization.

Quick start

npm install
npm run build
export BRAVE_ANSWERS_KEY=...
node dist/index.js    # speaks MCP over stdio

Register it in your agent's MCP config (opencode example below).

Tools

Tool Mode Latency Cost (all measured 2026-08-16)
answers sync single-search, streaming ~10–30s $0.051–0.055/call (citations on/off; entities n/a)
research_submit async research, returns research_id immediately ~90–312s (wall can exceed budget — see gotchas) $0.069–0.084 narrow, $0.771 for a 10-query broad run — see cost model
research_status poll job instant free
research_result fetch completed job instant free

answers params: query, country?, language?, enable_citations? (default true). (enable_entities exists in the API but is silently ignored — verified via raw SSE probe 2026-08-16: zero <enum_item> frames — so it is not exposed; the parser branch is kept in case it ships later.)

research_submit params: query, country?, language?, research_maximum_number_of_iterations? (1–5, default 4), research_maximum_number_of_seconds? (1–300, default 180; soft target), research_allow_thinking? (default true), research_maximum_number_of_queries? (1–50, default 20), research_maximum_number_of_tokens_per_query? (1024–16384, default 8192), research_maximum_number_of_results_per_query? (1–60, default 60). Research mode cannot mix with citations — enforced by omitting that key. research_status reports live progress (last <progress> frame) while the job runs; raw SSE is teed for every call.

Request body: model: "brave", exactly one user message, always stream: true (one tested code path). Timeouts: 60s simple / 600s research. Responses are routed to an internal brave-pro model.

Cost model (measured 2026-08-16)

<usage> breaks cost into four components:

Component Rate (derived) Example run
Input tokens ~$0.005 per 1K 9,210 tokens → $0.046 (dominant)
Output tokens ~$0.005 per 1K 153 tokens → $0.0008
Search queries ~$0.004 each 1 → $0.004
Requests $0 1 → $0.00

Research cost is driven by how many queries the engine actually runs (~$0.07/query effective, dominated by snippet tokens), not the iteration caps — those are ceilings, not targets:

Question type Queries run Cost Wall
Narrow (speculative decoding / MLX) 1 (of 4-iter cap) $0.079 136s
Narrow (forced 1 iteration) 1 $0.069 91s
Broad (solid-state batteries, 3-iter) 10 $0.771 312s (240s soft budget)

So the commonly cited ~$1+/call figure is reasonable for full default runs (20-query cap — historical multi-query runs measured $1–1.45) while early-terminating narrow questions are just cheap. Budget rule of thumb: ~$0.07 × expected queries.

Full <usage> fields: X-Request-Requests, X-Request-Queries, X-Request-Tokens-In/Out, X-Request-Requests-Cost, X-Request-Queries-Cost, X-Request-Tokens-In-Cost, X-Request-Tokens-Out-Cost, X-Request-Total-Cost.

SSE tags parsed: <citation>, <enum_item>, <usage>, <queries>, <analyzing>, <thinking>, <progress>, <blindspots> plus <answer> — in research mode the final answer arrives as <answer>{"answer": "..."}</answer> (a JSON object; also handled if it's a JSON string). Everything else accumulates as answer content. usage JSON carries X-Request-Total-Cost / X-Request-Queries / X-Request-Requests.

Display normalization (learned from live runs 2026-08-16): citations are deduped by URL (Brave emits one frame per inline occurrence — a 10-citation answer returned 21 frames); repeated <progress> frames for the same iteration are collapsed, last frame per iteration wins.

Job registry: in-memory Map, 1h TTL after completion. Raw SSE is teed for every call to $TMPDIR/brave-answers-mcp/<research_id>.sse (research jobs) or <uuid>.sse (simple calls) for debugging. Note $TMPDIR, not /tmp — hosts like opencode set a per-user temp dir for child processes. Wiped on reboot.

Build & test

npm install        # once
npm run build      # tsc → dist/  (re-run after source changes, then restart opencode)
npm run test:parser   # offline unit tests for the SSE parser (no API calls)
node dist/smoke.js    # end-to-end: tool listing, error path, one LIVE simple call (~$0.05)

Node 24, @modelcontextprotocol/sdk 1.30.0, zod 3.25. registerTool takes a zod shape (not z.object). The SDK's StdioClientTransport gives child processes a sanitized env by default (getDefaultEnvironment) — pass env: explicitly in any test client; see registration below for the opencode side.

SDK note (2026-08): 1.30.0 is the last v1-line release. The v2 line (split @modelcontextprotocol/server + /client packages) shipped with the 2026-07-28 MCP spec; v1 receives bug fixes for six months after the v2 release, so migration is not urgent.

opencode registration

In ~/.config/opencode/opencode.json (global) — replace the path with this repo's location:

"brave-answers": {
  "type": "local",
  "command": ["node", "<repo-root>/dist/index.js"],
  "environment": { "BRAVE_ANSWERS_KEY": "{env:BRAVE_ANSWERS_KEY}" },
  "enabled": true
}

environment (not env) is the key that works for local MCPs. The {env:VAR} interpolation reads from opencode's own environment. If a call returns 401 after restart, the interpolation didn't apply — delete the environment block and rely on shell-env inheritance instead (opencode launched from the terminal inherits ~/.zshrc exports). Restart opencode after any config change (not hot-reloaded).

A search skill for opencode (see references/ notes) documents the agent-facing workflow: answers for cited one-shot answers, research_submit → research_status → research_result for deep research.

Artifacts & references

  • artifacts/sse/ — raw SSE streams from the 2026-08-16 test runs (cost evidence, dedup evidence, enable_entities probe). See artifacts/README.md.
  • references/official-brave-skills/ — pinned copy of the official Brave answers skill (brave/brave-search-skills @ 62793e0), the source of truth for request parameters and tag formats.

API gotchas (from Brave docs + live testing)

  • Exactly one user message per request.
  • enable_research requires stream: true; incompatible with enable_citations and enable_entities (research has built-in citations).
  • enable_citations requires streaming; citations arrive as <citation> frames with number/url (+ optional start_index/end_index/snippet).
  • Progress frames repeat per iteration (multiple frames, same number_of_iterations); the cost-relevant fields are in the final <usage> frame — surface it to the user.
  • research_maximum_number_of_seconds is a soft target, not a hard wall-clock cap: a job submitted with a 30s budget ran 91s.
  • Iteration caps are ceilings, not targets: both observed research runs (1-iter-forced and 4-iter-default) executed exactly 1 query / 60 URLs and stopped. Cost follows actual queries/tokens — see the cost model above.
  • enable_entities is silently ignored by the API (no <enum_item> frames even when set; stream routes to brave-pro) — not exposed in the schema.
  • The <progress> payload's seconds field has been seen spelled elasped_seconds (upstream typo); the parser handles both.

License

MIT — see LICENSE.

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