MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Nothing to run from here
Gildara 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.
99/100
trust score
13
downloads a day
local
runs on your machine
358
downloads in 30d
What it does
MCP server for Gildara — operating contracts for AI agents. Structured runtime instructions compiled into optimal system prompts.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user gildara-mcp '--' npx -y @gildara/mcp-server
# 2 — ask your agent for something these tools do
# list_prompts, search_prompts, get_prompt and 9 more
Gildara costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
GIAll 1 server
@gildara1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
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 Gildara 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.
Claude Codedeclared by this listing
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 gildara-mcp '--' npx -y @gildara/mcp-serverReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it runs from its publisher’s own package: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it asks of you
Nothing is required, but it can take GILDARA_API_KEY (Your API key (pvk_...). If unset, auto-provisions a free agent account on first run.) if you want to set it.
What it writes
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.
What you approve
12 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.
List all prompts in your Gildara vault. Returns titles, IDs, categories, and whether each has an operating contract enabled. Use search_prompts instead when you want to find prompts by topic or concept rather than listing everything.
No parameter schema on file.
Search your Gildara vault semantically by meaning, not just keywords. Returns the most relevant prompts for a natural-language query (e.g.
No parameter schema on file.
Get details of a specific prompt including its content, variables, tags, and operating contract configuration.
No parameter schema on file.
Resolve a prompt into its compiled system prompt, with operating contract sections assembled (role, tools, stop conditions, output schema). This is what you should pass as the system prompt to an AI model. Supports variable substitution and channel selection (latest/stable).
No parameter schema on file.
Run a prompt through AI with automatic output validation and auto-repair. If the prompt has an output contract (JSON schema), the response is validated and automatically retried with a repair prompt on failure. Returns the AI response, parsed JSON (if applicable), and validation metadata.
No parameter schema on file.
Create a new prompt in your Gildara vault. Returns the new prompt ID which you can then use with resolve_prompt or run_prompt.
No parameter schema on file.
Append content to an existing prompt or memory. Creates a new version with the appended content added to the end. Use this for accumulating memories, adding context, or building up a prompt incrementally. The category
No parameter schema on file.
List all available agent blueprint templates. These are pre-built operating contracts for common agent types (code review, legal analysis, triage, etc.) that you can browse and use as starting points. Supports search by keyword or category.
No parameter schema on file.
Create a Brief in Gildara and dispatch it to a named agent.
No parameter schema on file.
List briefs that have results returned from their agents (status=
No parameter schema on file.
Fetch the result an agent submitted for a previously-dispatched Brief.
No parameter schema on file.
Get the URL to link this agent
No parameter schema on file.
Free
$0 forever
- 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 Gildara or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 99 / 100
Release 0.8.0 · scanned 14 Oct 2026
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.
Threat score100
Client score99
Findings0 threat · 0 capability
Capabilityminimal
Coveragesource
Verificationrepo
Surface digestf95e51bbdeb8fe589cfb5e779dc45e133116ff8b34e4aec30e9d7fa3ed89c223
Score vectorthreat 100 → client 99
| 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 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
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.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (12 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, 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 |
|---|---|---|
| list_prompts | no tags | |
| search_prompts | no tags | |
| get_prompt | no tags | |
| resolve_prompt | no tags | |
| run_prompt | no tags | |
| create_prompt | no tags | |
| append_memory | no tags | |
| list_blueprints | untrusted-input | untrusted-input: keyword "browse" |
| save_brief | no tags | |
| list_returned_briefs | untrusted-input | untrusted-input: keyword "fetch" |
| get_brief_result | untrusted-input | untrusted-input: keyword "fetch" |
| get_account_link | no tags |
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
Integrityfirst-seen
Surface digestf95e51bbdeb8fe58
Scanned2026-10-14
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 0.8.0. Pin a release below and the command asks for exactly that one.
0.8.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
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.
Sign in to write one
Any signed-in account that does not publish Gildara can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
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.