mcp-brandwatch
MCP server for Brandwatch's Consumer Research, Data Upload, and Analysis APIs, exposing 55 tools for social listening, mentions, queries, alerts, and data uploads.
README
mcp-brandwatch
MCP server for the Brandwatch Consumer Research API, Data Upload API and Analysis API.
📋 Reviewing this? Start with IT-REVIEW.md — architecture, auth model, risk assessment, tool inventory and the open decisions. This README is the operator quick-reference.
Two flavours:
worker/— remote server on Cloudflare Workers (connector URL). Primary.server.py— local stdio server (subset). Legacy/local use.
Remote server (Cloudflare Worker)
Deployed at: https://mcp-brandwatch.gtm-ai.workers.dev
Connector URL (secret path — treat as a credential, it is in worker/.mcp-secret):
https://mcp-brandwatch.gtm-ai.workers.dev/<MCP_SECRET>/mcp
/sse also available for legacy SSE clients. Requests without the secret prefix get 404.
Secrets
cd worker
npx wrangler secret put BW_TOKEN # long-lived API token — preferred
# or:
npx wrangler secret put BW_USERNAME
npx wrangler secret put BW_PASSWORD
npx wrangler secret put MCP_SECRET # URL path key (already set)
Only "Regular" or "Admin" Brandwatch accounts can use the API. Tokens come from
POST https://api.brandwatch.com/oauth/token (grant_type=api-password,
client_id=brandwatch-api-client) and last ~1 year.
Deploy / dev
cd worker
npm install --legacy-peer-deps
npm run deploy # or: npm run dev
Tools (55)
| Group | Tools |
|---|---|
| Account | me, get_user, get_client |
| Projects | list_projects, get_project |
| Queries | list_queries, get_query, validate_query, create_query, update_query, delete_query |
| Query groups | list_query_groups, delete_query_group |
| Tags | list_tags, create_tag, delete_tag, backfill_tag |
| Categories | list_categories, create_category, delete_category, backfill_category |
| Rules | list_rules, get_rule, delete_rule |
| Author/site/location lists | list_groups, create_group, delete_group |
| Workflow & alerts | get_workflow, list_alerts, get_alert, create_alert, update_alert, delete_alert |
| Mentions | get_mentions (paged + cursor, fulltext), count_mentions, update_mentions |
| Charts & insights | chart, multi_aggregate_chart, topics, data_insights (hashtags/emoticons/urls/mentionedauthors/sharedsites) |
| Metadata | list_filters, list_metrics, search_locations, list_exclusion_snippets |
| Data Upload | list_content_sources, create_content_source, update_content_source, delete_content_source, upload_documents, delete_documents, content_upload_usage |
| Analysis (billed per query) | analysis_submit, analysis_result, analysis_usage |
| Escape hatch | brandwatch_request (any method, any path) |
Rate limit & optimisations baked in
- Consumer Research API: 30 calls / 10 min per client (
x-rate-limitheaders). The worker appends_rateLimitto responses once usage hits 70% so the model backs off. - Metadata endpoints (tags, categories, lists, filters, metrics, locations, exclusion snippets) cached in-memory 5 min — Brandwatch's own recommended practice.
multi_aggregate_chartandcount_mentionsexist specifically to spend fewer calls.- OAuth token cached per isolate; auto-refresh once on 401.
- Dates: ISO 8601 (
2024-01-01or2024-01-01T00:00:00.000+0000). Analysis API ranges max 24h. Mentions pagination caps at 10,000 — usecursorbeyond.
Refs: https://developers.brandwatch.com/llms.txt, Python client BrandwatchLtd/bcr-api.
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