Overture (SixHq/Overture) is an MCP server listed on the M8ven Trust Index. It scores 54 out of 100, grade D. It declares 14 tools. No publisher has claimed this listing.

D
Emerging
54/100

Overture

Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server that visually maps out the execution plan of any AI coding agent as an interactive flowchart/graph before the agent begins writing code.

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

SixHq

Source: Glama · also listed on github_topic

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Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
⚠️
Known vulnerabilities in dependencies: 3 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// tools this server exposes14 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

submit_plan

Submit a complete plan XML to Overture. IMPORTANT: Call get_usage_instructions first to learn the correct XML format and workflow. Use this if you have the entire plan ready at once. The plan will be parsed and displayed on the canvas.

get_approval

Wait for user approval of the plan in the Overture UI. Returns status: "approved" (with field values and selected branches), "cancelled" (user rejected), or "pending" (still waiting). If status is "pending", call this tool again to continue waiting - the user may need up to 15-30 minutes to review a

update_node_status

Update the status of a node during execution. Use this to show progress as you work through the plan. The node will visually update on the canvas.

plan_completed

Mark the plan as successfully completed. Call this after all nodes have been executed.

plan_failed

Mark the plan as failed. Call this if an unrecoverable error occurs during execution.

check_rerun

Check if the user has requested to re-run any nodes. Call this after plan_completed to allow users to re-run specific nodes or re-run from a node to the end. Returns immediately if there's a pending request, otherwise waits briefly.

check_pause

Check if the user has paused execution. Call this before starting each node to respect user pause requests. If wait=true, blocks until the user resumes.

get_resume_info

Get detailed information about a paused or failed plan to help resume execution. Returns the current node where execution stopped, list of completed/pending/failed nodes, user-configured field values, selected branches, and other metadata. Use this when resuming a plan that was paused, failed, or lo

request_plan_update

Update an existing plan with incremental operations. Pass an array of operations to insert, delete, or replace nodes. Operations are applied in order with smooth animations. After calling this, call get_approval to confirm changes with the user.

create_new_plan

Signal that you are creating a completely new, unrelated plan. IMPORTANT: Call get_usage_instructions first if you haven't already. Call this BEFORE submitting a new plan when the user asks for something unrelated to the current plan (e.g., "let's work on something else", "forget that, build X inste

get_usage_instructions

Get detailed usage instructions for Overture MCP. CALL THIS FIRST before using any other Overture tools. Returns comprehensive documentation on how to structure plans, use XML format, handle approvals, and execute nodes. Pass your agent type to get agent-specific instructions.

get_node_info

Get detailed information about a specific node in the plan. Returns the node's title, type, status, description, field values, attachments, MCP servers, and branch information.

update_node_detail

Update the details of a specific node in the plan. Use this to modify the title, description, complexity, expected output, or risks of a node. The UI will update in real-time.

update_nodes_detail

Update details for multiple nodes at once (batch operation). Use this to efficiently modify title, description, complexity, expected output, or risks for multiple nodes in a single call. More efficient than calling update_node_detail multiple times.

// known CVEs in dependencies3 high4 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.0.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

highws@8.16.0GHSA-3h5v-q93c-6h6q

ws affected by a DoS when handling a request with many HTTP headers

highws@8.16.0GHSA-96hv-2xvq-fx4p

ws: Memory exhaustion DoS from tiny fragments and data chunks

lowexpress@4.18.2GHSA-qw6h-vgh9-j6wx

express vulnerable to XSS via response.redirect()

lowexpress@4.18.2GHSA-rv95-896h-c2vc

Express.js Open Redirect in malformed URLs

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// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configOVERTURE_AUTO_OPENSet to false to prevent auto-opening browser
configOVERTURE_HTTP_PORTPort for the web UI
configOVERTURE_WS_PORTPort for WebSocket communication
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

14/14 tools missing one or more hints — submit_plan (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_approval (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); update_node_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +11 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tests exist

No test files found

Add tests that exercise each declared tool.

Production dependencies are patched

0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.0.0 (high), ws@8.16.0 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
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commit: 14c892950fd45e987b6b3bdaad47f3a5fa317e59
code hash: aff0d3ac1f60563bae06652943cb2ec5b8965a23d13478cde0de4dda47c48221
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