Query Markup Documents - On-device hybrid search for markdown files with BM25, vector search, and LLM reranking
Th0th Ai Client is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
th0th MCP server - Semantic code search, memory, and context compression via Model Context Protocol
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user th0th-ai-client-mcp '--' npx -y --package=@th0th-ai/mcp-client th0th
# 2 — ask your agent for something these tools do
# th0th_index, th0th_index_status, th0th_search and 17 more
Th0th Ai Client costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Th0th Ai Client as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user th0th-ai-client-mcp '--' npx -y --package=@th0th-ai/mcp-client th0thReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
20 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Index a project directory for contextual code search with semantic embeddings
No parameter schema on file.
Get the status of a background indexing job by its jobId. Use this after calling th0th_index to check progress.
No parameter schema on file.
Search for code in an indexed project using semantic and keyword search
No parameter schema on file.
Store memory in the hierarchical memory system (local SQLite)
No parameter schema on file.
Search stored memories across sessions using semantic search (recovers context from previous conversations)
No parameter schema on file.
Compress context using semantic compression (keeps structure, removes details)
No parameter schema on file.
Retrieve and compress context with maximum token efficiency (search + compress)
No parameter schema on file.
Get search analytics and performance metrics (usage patterns, cache performance, etc)
No parameter schema on file.
List all indexed projects with their status (pending/indexing/indexed/error), file counts, symbol counts, and last indexed time.
No parameter schema on file.
Search for symbol definitions (functions, classes, variables, types, interfaces) in an indexed project. Returns name, kind, file location, line numbers, and doc comments.
No parameter schema on file.
Find all references (usages) of a symbol across the project. Returns file paths, line numbers, reference kinds (call/import/type_ref/extend/implement), and code context snippets.
No parameter schema on file.
Find the definition of a symbol (function, class, variable, type, etc.) in the project. Disambiguates by calling file context. Returns file location, line numbers, doc comment, and code snippet.
No parameter schema on file.
Delete all indexed data for a project: vector embeddings, symbol graph (definitions/references/imports/centrality), and stored memories.
No parameter schema on file.
Read a specific file (or line range) with symbol metadata and imports. Use instead of Read/grep when you have filePath+lineStart+lineEnd from a search result.
No parameter schema on file.
Create/resume a Synapse cognitive session. Returns sessionId to pass as sessionId on every th0th_search. Activates task alignment, agent affinity, working-memory buffer. Name by intent:
No parameter schema on file.
Seed the Synapse working-memory buffer with recalled memories before searching. Call at session start with th0th_recall results.
No parameter schema on file.
Record file access for affinity scoring — boosts that file in future searches. Call after reading or editing a file.
No parameter schema on file.
Get raw code snippet by file + line range from an indexed project.
No parameter schema on file.
Browse stored memories by type/importance without a semantic query (audit mode). Use th0th_recall for semantic search.
No parameter schema on file.
Force full reindex of a project workspace. Use when autoReindex (max 50 files) is insufficient after a large refactor.
No parameter schema on file.
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Th0th Ai Client or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 2.0.2. Pin a release below and the command asks for exactly that one.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Th0th Ai Client can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.