memory
Official MCP reference server (memory); see repo README.
run any ai model. compose agents, stack knowledge, connect tools. one api, pay per run.
| Category | AI, Memory & RAG |
| Publisher type | registry-published |
| ID | ac.inference.sh/mcp |
| Stars | not collected yet |
| Last update | 2026-07-27 |
| Source | official-registry |
Install from registry metadata Remote endpoint: https://api.inference.sh/mcp
Some servers also need API keys or environment variables. Check the README.
claude_desktop_config.json{
"mcpServers": {
"inference-sh": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.inference.sh/mcp"
]
}
}
}.cursor/mcp.json{
"mcpServers": {
"inference-sh": {
"url": "https://api.inference.sh/mcp"
}
}
}.vscode/mcp.json{
"servers": {
"inference-sh": {
"type": "http",
"url": "https://api.inference.sh/mcp"
}
}
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Official MCP reference server (memory); see repo README.
Official MCP reference server (sequentialthinking); see repo README.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
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