EarningsCalls MCP Server
Enables AI agents to access and search 177,000+ earnings call transcripts from 17,000+ companies, allowing natural language queries about financial commentary.
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
get_dataset_statsReturn overall statistics about the EarningsCalls dataset: total number of calls, transcripts, speaker segments, companies, sector count and the earliest / latest call date available. Use this first to understand scope and date coverage before querying specific calls.
list_latest_callsList the most recent earnings calls available. Optional sector filter (e.g. "Information Technology", "Financials"). Use this to discover what happened recently in the market or a specific sector.
list_calls_by_tickerGet all earnings calls for a specific stock ticker (e.g. "PLTR", "AAPL", "MSFT"). Returns company metadata plus the list of calls sorted newest-first. Use this to get the history of a single company.
get_transcriptFetch the full text of an earnings call transcript by its id (get the id from list_calls_by_ticker or list_latest_calls). Use format "summary" for just a preview, "full" for the entire transcript (default), or "components" for the structured header + section breakdown (Prepared Remarks vs Q&A).
get_speaker_segmentsGet the structured speaker segments for an earnings call: who said what, with their role (Executive, Analyst, Operator). Use role filter to narrow down, e.g. "analyst" to extract only the Q&A questions or "executive" for only management responses.
search_transcriptsRun a full-text search across all earnings call transcripts and speaker segments. Returns matching calls with relevance-ranked snippets. Use this to find mentions of products, executives, themes, guidance phrases, etc. across the whole dataset.
list_upcoming_earningsGet scheduled earnings calls that have not yet happened. Useful for preparing research before a call or identifying imminent catalysts. Optionally filter by ticker.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
EARNINGSCALLS_API_KEYenv =ect_your_key_here \EARNINGSCALLS_BASE_URLno https://earningscalls.devPORTTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
7/7 tools missing one or more hints — get_dataset_stats (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_latest_calls (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_calls_by_ticker (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +4 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
6/7 tool handlers declare input schemas (86%)
Declare an inputSchema with zod/joi/yup on every tool definition.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tests exist
No test files found
Add tests that exercise each declared tool.
Production dependencies are patched
0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.20.0 (high), @modelcontextprotocol/sdk@1.20.0 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
Domain consistency
npm scope @earningscalls doesn't match GitHub owner stockmarketscan
Use the same org name across GitHub, npm, and your homepage so users can verify the publisher.
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