ta-lib-mcp-server
A read-only Python MCP server that exposes TA-Lib functionality via MCP tools for listing available indicators/categories, fetching indicator metadata, computing indicator values from numeric OHLCV-like inputs, and reporting version information. If TA-Lib is not installed, it still starts and returns actionable errors for TA-Lib-related tools.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
No auth is described (score reduced). The README indicates input validation via validators and a read-only design with no stateful/exchange operations, which is positive. No details are provided about transport (TLS) or how the MCP server is bound/listened, and no rate limiting or authorization controls are documented. Dependency hygiene is unknown from the provided data; a baseline score is used.
⚡ Reliability
Best When
You want an agent to programmatically browse and compute TA-Lib indicators in a local/offline, read-only manner using MCP tools.
Avoid When
You need hosted APIs with SLAs, authentication for multi-tenant access, or you require strong operational guarantees not addressed by the provided documentation.
Use Cases
- • Connect an MCP-capable agent (e.g., Claude Desktop, Codex, Gemini CLI) to TA-Lib indicator discovery and computation
- • Generate indicator metadata (inputs/outputs/parameters) for UI or agent reasoning
- • Compute technical-analysis indicators from provided time-series arrays without writing direct TA-Lib integration code
- • Build retrieval/selection workflows where an agent lists indicators and then computes specific ones
Not For
- • Production trading execution systems requiring low-latency streaming or stateful order management
- • Scenarios requiring strict compliance/validation beyond local tool execution
- • Environments where arbitrary user-provided numeric inputs are not validated/sandboxed at the application layer
Interface
Authentication
No authentication mechanism is described. For MCP, access is typically local/host-controlled; this package documentation does not mention auth/authorization controls.
Pricing
Open-source package; no pricing model indicated.
Agent Metadata
Known Gotchas
- ⚠ The server requires Python 3.13+ and MCP CLI support; agents may need a compatible runtime environment.
- ⚠ If TA-Lib is not installed, TA-Lib tools should fail with actionable errors; the agent should handle this fallback path.
- ⚠ Tool inputs are validated (per README), so malformed arrays/parameter types should produce validation errors that the agent must correct rather than retry blindly.
Alternatives
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Scores are editorial opinions as of 2026-04-04.