Bristlecone-Logic/bristlecone-logic
by Various
Deterministic guardrails and M2M security rails for autonomous AI agents: pre-socket SSRF defense, zero-overhead JSON repair, and sandboxed AST math verification.
MCP
Bristlecone-Logic/bristlecone-logic
Added 16 Sept 2026
Overview
Deterministic guardrails and M2M security rails for autonomous AI agents. It provides pre-socket SSRF defense, zero-overhead JSON repair, and sandboxed AST math verification. Written in Python.
Best for
Best for
Developers building Python-based autonomous agents that need deterministic safety rails
Use cases
- Block SSRF attempts before socket connections are made
- Repair malformed JSON output from AI agents without performance overhead
- Verify mathematical computations using sandboxed AST analysis
How to use
Tools exposed
audit_dnschunk_texteval_expressionextract_webrepair_jsonvalidate_schema
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "bristlecone-guard": {\n "url": "https://bristleconelogic.com/mcp"\n }\n }\n} Notes
Deterministic guardrails and M2M security rails for autonomous AI agents. It provides pre-socket SSRF defense, zero-overhead JSON repair, and sandboxed AST math verification. Written in Python.
0 stars on GitHub. Last updated 2026-09-13.
Use cases
- Block SSRF attempts before socket connections are made
- Repair malformed JSON output from AI agents without performance overhead
- Verify mathematical computations using sandboxed AST analysis
Pros
- Deterministic behavior, not probabilistic
- Covers security and data integrity in one library
- Zero-overhead JSON repair is a practical performance advantage
Cons
- Zero GitHub stars indicates no proven community traction
- Vendor is listed as Various, so no dedicated support or maintenance guarantee
- Limited to Python environments
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Deterministic behavior, not probabilistic
- Covers security and data integrity in one library
- Zero-overhead JSON repair is a practical performance advantage
Cons
- Zero GitHub stars indicates no proven community traction
- Vendor is listed as Various, so no dedicated support or maintenance guarantee
- Limited to Python environments
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