https://mcp.moltlinestudio.com/taxlots
Scanned Sep 6, 2026
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Your server uses protocol 2025-06-18. The latest version is 2025-11-25 with session management, origin validation, and notification support.
No authentication required — server is open to anonymous access, which may be intentional for public tools
Server capabilities overlap significantly with native LLM abilities. Consider adding real API calls or external integrations.
Multiple similar MCP servers exist. Consider differentiating with unique features.
Server responded to ping
Valid Mcp-Session-Id assigned (32 chars)
Server correctly rejects invalid MCP-Protocol-Version with 400
Server correctly rejects malformed JSON-RPC with 400
Server correctly rejects invalid Origin with 403
Server returns 405 for DELETE (acceptable — session termination not supported)
Server returns 202 Accepted for JSON-RPC notifications
Server info: name, version
No OAuth? That's OK
OAuth is optional, but consider it for production deployments to protect your server from unauthorized access.
external: file, build, ci; LLM-native: convert, parse, math
5+ similar servers — crowded space
Domain "git" has broad developer audience
Competitors found
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Generate analysis-ready CSV or TSV exports from any Numeric financial statement. pure data records ready for Excel pivots, pandas, or any BI tool.
If you play with MCP, use trusted servers. Google's Agent Development Kit treats MCP servers as tool providers for Gemini models.
The Model Context Protocol (MCP) is a protocol definition for how LLM apps/agents can leverage external tools. MCP tool servers control the ...
“parse_transactions: 85 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 15/20, Annot: 15/15”
“ledger_lint: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”
“match_transfers: 85 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 20/20, Annot: 15/15”
“build_lots: 95 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 20/20, Annot: 15/15”
“form_8949_rows: 90 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 20/20, Annot: 15/15”
“reconcile_1099da: 90 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 20/20, Annot: 15/15”
“wash_window_check: 90 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 20/20, Annot: 15/15”
“lp_position_math: 85 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 20/20, Annot: 15/15”
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