— · MIT License
Provides an MCP server for deterministic game-theoretic optimization, enabling regret-matching equilibrium computation and payoff-matrix analysis with IESDS dominance pruning via JSON tool results.
— · MIT License
Enables deterministic execution, cryptographic security, and game-theoretic optimization through the Model Context Protocol, returning deterministic JSON tool results for agent telemetry and task inputs.
— · MIT License
Enables agents to estimate latent user intent, maintain belief states, and resolve ambiguous requests using entropy-based thresholding through MCP tools.
— · MIT License
Enables agents to store LLM query-response pairs and retrieve them via fuzzy cosine similarity matching, reducing duplicate inference calls; it exposes tools for setting cache entries, semantic lookup, and hit-rate statistics.
— · Apache 2.0
Enables AI agents to search and invoke 1,939 Atlassian automation tools across Jira, Confluence, Bitbucket, Admin, Assets, and more, with cached reads and JSON-RPC over stdio. It helps agents find tools without calling Atlassian and execute operations while reducing rate-limit pressure.
— · Apache 2.0
Exposes three read-only tools that list local Agent and MCP runtime candidates, inspect running processes, and check a live runtime against an approved artifact expectation. Returns explicit verdicts such as matched, stale, leaked, conflict, unknown, or not running without exposing argv, environment values, or file contents.
— · MIT License
Enables external AI tools to query authorized WeChat messages and available media through read-only or full-permission keys, with restricted conversation scopes.
— · Apache 2.0
Publishes a weather MCP server that layers governance onto a working baseline: JWT scope checks on tools, logging with redaction, background tasks with progress and elicitation, and search/code-mode views of the same server. It also supports an in-process proxy provider and a packaged skill for agent-side discovery.