Skip to main content
Glama

cognee-mcp

benchmark_summary_competition.json1.63 kB
[ { "system": "Cognee", "Human-like Correctness": 0.925, "Human-like Correctness Error": [ 0.911, 0.94 ], "DeepEval Correctness": 0.846, "DeepEval Correctness Error": [ 0.83, 0.863 ], "DeepEval EM": 0.687, "DeepEval EM Error": [ 0.661, 0.717 ], "DeepEval F1": 0.841, "DeepEval F1 Error": [ 0.821, 0.861 ] }, { "system": "LightRAG", "Human-like Correctness": 0.955, "Human-like Correctness Error": [ 0.944, 0.965 ], "DeepEval Correctness": 0.673, "DeepEval Correctness Error": [ 0.661, 0.684 ], "DeepEval EM": 0.0, "DeepEval EM Error": [ 0.0, 0.0 ], "DeepEval F1": 0.09, "DeepEval F1 Error": [ 0.087, 0.094 ] }, { "system": "Mem0", "Human-like Correctness": 0.722, "Human-like Correctness Error": [ 0.695, 0.747 ], "DeepEval Correctness": 0.541, "DeepEval Correctness Error": [ 0.524, 0.559 ], "DeepEval EM": 0.0, "DeepEval EM Error": [ 0.0, 0.0 ], "DeepEval F1": 0.12, "DeepEval F1 Error": [ 0.114, 0.127 ] }, { "system": "Graphiti", "Human-like Correctness": 0.884, "Human-like Correctness Error": [ 0.802, 0.954 ], "DeepEval Correctness": 0.74, "DeepEval Correctness Error": [ 0.659, 0.816 ], "DeepEval EM": 0.46, "DeepEval EM Error": [ 0.32, 0.6 ], "DeepEval F1": 0.695, "DeepEval F1 Error": [ 0.589, 0.797 ] } ]

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/topoteretes/cognee'

If you have feedback or need assistance with the MCP directory API, please join our Discord server