A
licenseB
qualityC
maintenanceMCP server that provides AI assistants access to stock market data including financial statements, stock prices, and market news through a Model Context Protocol interface.
11
2,290
MIT
Agenda Intelligence
Related Servers
Alternatives to Agenda Intelligence
Brave Search MCP Serverofficial
AlicenseAqualityAmaintenanceAn MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.8813,040 npm1,451MIT
OilPriceAPIofficial
AlicenseAqualityAmaintenanceReal-time and historical oil, gas, and commodity prices. 40+ energy commodities including Brent Crude, WTI, Natural Gas, LBMA Gold/Silver, EU Carbon, and refined products. Get current prices, compare commodities, view market overviews, and access historical data — all through natural language. Used by energy traders, fintech companies, and researchers worldwide.32340 npm4MIT
WhisperGraphofficial
AlicenseAqualityCmaintenanceSelf-hostable MCP server for WhisperGraph — a graph of 7.39B nodes / 39B edges mapping DNS, BGP, GeoIP, WHOIS, and threat intelligence. Six read-only tools (Cypher query + schema introspection + threat assessment), six resources, eight investigation prompts. stdio and Streamable HTTP transports.826 npm1Apache 2.0- AlicenseNot gradedqualityAmaintenanceSelf-hosted financial data terminal for AI agents. Scrapes and serves SEC filings (full-text search), 13F institutional holdings, insider and congressional trades, FINRA short data, FRED economic indicators, CFTC futures positioning, VIX/put-call ratios, and daily stock prices over MCP.230AGPL 3.0
Related Servers
- MIT
weavatrix-qualityofficial
AlicenseNot gradedqualityAmaintenanceEnables coding agents to turn OpenSpec intents and Git changes into revision-bound proofs by planning, selecting, and running the smallest safe protection set, then verifying composite verdicts and explaining evidence or unresolved states.MIT- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query permission-filtered world views, inspect evidence-backed signals, and trace timelines across integrated enterprise systems, handing deep investigation off to vertical MCP servers via verified capabilities.MIT
- AlicenseNot gradedqualityCmaintenanceEnables autonomous multi-perspective deep research, evidence harvesting, and verified report synthesis with confidence scoring, directly from MCP-compatible clients.MIT
- AlicenseNot gradedqualityBmaintenanceProvides read-only knowledge search and guarded action proposal tools. Write-like actions require human approval and return traceable evidence with policy events.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to verify claims with evidence-based truth scores and confidence levels by running a deterministic pipeline of evidence lanes and adversarial checks.26MIT
TDQS
A3.6/5.0
Scored across 31 tools
Disambiguation2/5
Several tools occupy overlapping territory: grounded_check, check_evidence_packet, and verify_quotes all perform local lexical/quote checks, while audit_claims and agent_output_verification both consume evidence-audit JSON and report orphaned or unsupported claims. The descriptions try to differentiate, but an agent would struggle to choose among validate_evidence, check_evidence_packet, audit_claims, and verify_claims. Clear retrieval tools like get_protocol and list_lenses stand apart, but the validation/verification cluster blurs boundaries.
Naming Consistency3/5
Most tools use lowercase snake_case verb_noun names like validate_memo, list_signals, and create_brief, but the vertical risk tools break the pattern with noun-phrase names like middle_corridor_deal_risk, gulf_maritime_exposure, and kazakhstan_market_entry_readiness. Verb choice is also inconsistent across similar actions (validate/check/audit/verify). The names are still readable and uniformly lowercase, but there is no consistent convention.
Tool Count2/5
At 31 tools, the surface is heavy, and it exceeds the 16-25 range that already feels bloated for most MCP servers. The count is inflated by near-redundant validators and checkers, plus a reserved deep_dive placeholder that performs no analysis. Many of these tools could be consolidated without losing real capability.
Completeness4/5
The toolkit covers the full evidence-discipline lifecycle: building inputs (create_brief, append_evidence), validating schemas (validate_brief/evidence/memo), checking grounding and quality (grounded_check, verify_quotes, check_memo_quality), generating analyses (analyze and verticals), and gating actions (pre_action_check). Minor gaps include the non-functional deep_dive placeholder and the lack of a broader post-analysis refinement tool, but the core workflow is well covered.
Maintenance
ActivityActive
ResponsivenessWithin a week