Synaplan is answering right now. Last checked 13 min ago. It exposes 10 tools. Last commit 1 Nov 2026.
Self-hosted AI workspace: semantic RAG document search, long-term memory, and AI chat via MCP.
We read the source, 22 h ago · tools taken from the live server · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
if _, err := os.Stat(path(root, "/.dockerenv")); err == nil {
const child = spawn(process.execPath, [SERVER], { env: { ...process.env, PORT: '0', ...env }, stdio: ['ignore', 'pipe', 'inherit'] })
require_once $file;
exec($fullCmd, $output, $returnCode);
<!-- Delete Confirmation Dialog (single + bulk) -->
outPath := filepath.Join(layout.Out, name)
out = subprocess.run(
private string $baseUrl = 'https://api.telegram.org',
printWindow.document.write(html)
- /var/run/docker.sock:/var/run/docker.sock
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.
claude mcp add synaplan --transport http https://web.synaplan.com/mcp
https://web.synaplan.com/mcp
[mcp_servers.synaplan]
url = "https://web.synaplan.com/mcp"
{
"mcpServers": {
"synaplan": {
"url": "https://web.synaplan.com/mcp"
}
}
}
{
"servers": {
"synaplan": {
"type": "http",
"url": "https://web.synaplan.com/mcp"
}
}
}
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
memory_add
memory_search
rag_search
rag_similar
list_assistants
list_chats
file_ingest
get_messages
list_prompts
synaplan_chat
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://web.synaplan.com/mcp | streamable-http | answering | 228 ms | 13 min ago |
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
Self-hosted memory for AI agents over MCP: knowledge graph, vectors, graph RAG, cited answers.
AI assistant with RAG, web search, filesystem and memory. MCP sub-agent for Claude Code.
Semantic search over WSO2 docs (APIM, IS, MI, Choreo, Ballerina) via RAG and pgvector.
Semantic document memory using Redis vector store. Save and recall files with natural language.
Answers built from our own checks of this server.