RFP.ai
v1.0.1
ai.rfp/rfp-ai
Draft cited RFP and security questionnaire answers from your knowledge base, with human review
io.github.pouyahasanamreji/continuum · v0.3.0
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
continuum 是一个MCP Server,收录自 官方 MCP Registry。支持 streamable-http 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
{
"mcpServers": {
"continuum": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/pouyahasanamreji/continuum:0.3.0"
]
}
}
}ORCHESTRATOR_DB_PATH可选SQLite path inside container
EMBEDDER_URL可选Optional HTTP embedder (Ollama/TEI/OpenAI-compatible). Unset = in-process embedder.
EMBEDDER_MODEL可选Embedding model id
EMBEDDER_DIM可选Embedding vector dimension
v1.0.1
ai.rfp/rfp-ai
Draft cited RFP and security questionnaire answers from your knowledge base, with human review
v1.1.0
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com.docimprint/api
AI document intelligence: extract, summarize, claim-check, and notarize with on-chain proofs.
v0.14.0
io.github.blackwell-systems/agent-lsp
Stateful LSP runtime for AI agents — 50+ tools across 30+ languages via MCP.
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io.github.hostinger/hostinger-api-mcp
MCP server for Hostinger API
v0.41.0
io.github.zhitongblog/unterm
The terminal AI agents can drive: spawn panes, run commands, read screens, scrolling screenshots.
{
"id": "io.github.pouyahasanamreji/continuum",
"type": "mcp-server",
"version": "0.3.0",
"displayName": "continuum",
"description": "Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.",
"repository": {
"url": "https://github.com/pouyahasanamreji/continuum",
"source": "github"
},
"homepage": "https://github.com/pouyahasanamreji/continuum",
"distribution": {
"packages": [
{
"registryType": "oci",
"identifier": "docker.io/pouyahasanamreji/continuum:0.3.0",
"runtimeHint": "docker",
"transport": "streamable-http",
"environmentVariables": [
{
"name": "ORCHESTRATOR_DB_PATH",
"description": "SQLite path inside container"
},
{
"name": "EMBEDDER_URL",
"description": "Optional HTTP embedder (Ollama/TEI/OpenAI-compatible). Unset = in-process embedder."
},
{
"name": "EMBEDDER_MODEL",
"description": "Embedding model id"
},
{
"name": "EMBEDDER_DIM",
"description": "Embedding vector dimension"
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.pouyahasanamreji/continuum",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.pouyahasanamreji%2Fcontinuum/versions/latest",
"isOfficial": true,
"status": "active"
}
}