AEO Copilot MCP Server
Enables AI assistants to monitor and analyze a brand's visibility across ChatGPT, Claude, Perplexity, and Google AI Overviews, providing insights, recommendations, and competitive analysis without switching tabs.
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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.
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.
list_brandsList all brands you have access to in AEO Copilot.
list_topicsList all topics configured for a brand. Topics group related prompts together (e.g. 'Product Comparisons', 'Feature Questions').
get_resultsGet prompt execution results for a brand across AI engines (ChatGPT, Claude, Perplexity, Google AI Overviews). Each result includes a per-engine block with the full answer text (`response`), plus whether your brand was mentioned, its position, sentiment, sources, and which competitors appeared. Set …
get_insightsGet analytics insights for a brand: overall visibility score, sentiment breakdown, competitive share, visibility trends over time, top-performing topics, and competitor breakdown.
get_recommendationsGet prioritised, actionable recommendations to improve your brand's AI visibility — based on prompt results and a technical audit of your website.
create_brandCreate a new brand on your AEO Copilot account. Subject to your plan's brand limit — the API will return an error if you've reached it.
create_topicCreate a topic cluster for a brand. Topics group related prompts (e.g. 'Pricing Questions', 'Product Comparisons').
add_promptsBulk-add prompts to a brand under a specific topic. Subject to your plan's monthly prompt limit — the API will return an error if you've reached it.
run_brand_promptsRun all prompts for a brand across every enabled LLM (ChatGPT, Claude, Perplexity, Google AI Overviews). Optionally filter to a single topic. Returns the count of prompts run.
scan_brandRun a technical audit on the brand's website. Returns the full scan result — same data the dashboard's technical scan view shows (schema markup, sitemap, llms.txt, etc.).
create_indexCreate an industry index — a brand-agnostic view of an industry that tracks every entity cited across prompts (no single brand is the focus).
list_indexesList all industry indexes you have access to in AEO Copilot.
add_index_topicAdd a topic cluster to an industry index. Topics group related prompts (e.g. 'Pricing Questions', 'Best-of Comparisons').
add_index_promptsBulk-add prompts to a topic in an industry index.
run_index_promptsRun all prompts in an index across all 4 LLMs (ChatGPT, Claude, Perplexity, Google AI Overviews) and store full per-LLM results. No brand filter — every entity mentioned is captured.
get_index_resultsGet raw per-prompt results for an industry index across all 4 LLMs. Same shape as get_results minus the brand-mention fields — every cited entity is captured.
get_index_share_of_voiceGet the ranked entity list for an index by citation frequency, plus a concentration score (top-1 share % and HHI-style index showing how concentrated mentions are).
get_index_sourcesGet domains ranked by citation frequency across every LLM response in the index — which sources the AI engines lean on most.
get_index_whitespaceFind whitespace opportunities in an index: prompts and topics where no entity is consistently cited (threshold: fewer than 1 consistent entity across at least 50% of runs). These are gaps where a brand could establish authority.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
AEO_COPILOT_API_KEYclaude mcp add aeo-copilot -e =aeo_your_key_here -- npx aeo-copilot-mcpTool 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
19/19 tools missing one or more hints — list_brands (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_topics (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_results (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +16 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.
Tool inputs are validated
17/19 tool handlers declare input schemas (89%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 0/19 tool handlers wrap calls in try/catch (0%)
Wrap each tool handler body in try/catch and return a structured error response.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
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@1.10.2 (high), @modelcontextprotocol/sdk@1.10.2 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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