tca-mcp-server (TCATools/tca-mcp-server) is an MCP server listed on the M8ven Trust Index. It scores 58 out of 100, grade D. It declares 5 tools. No publisher has claimed this listing.
Enables starting code analysis and obtaining code analysis reports via the MCP protocol, integrating with Tencent Cloud Code Analysis (TCA).
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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TCATools
Source: Glama
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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.
tca_issue_list获取当前项目未解决的问题列表, 参数如下: -mcpConfigFile: mcp配置文件路径,当前项目根目录查找 tca-mcp.ini(绝对路径) -state: 查询任务状态, (0为等待中,1为执行中,2为关闭,3为入库中,4正在初始化, 5初始化完成 可多选,格式为1,2,3) -severity: 问题严重程度, (0为低,1为中,2为高) -offset: 偏移量 -limit: 限制数量
tca_issue_reporttca报告链接, 参数如下: -mcpConfigFile: mcp配置文件路径,当前项目根目录查找 tca-mcp.ini(绝对路径) -jobId: 任务id, 启动分析任务后,从返回结果中获取
job_detail获取任务详情, 参数如下: -mcpConfigFile: mcp配置文件路径,当前项目根目录查找 tca-mcp.ini(绝对路径) -jobId: 任务id
job_list获取当前任务列表, 参数如下: -mcpConfigFile: mcp配置文件路径,当前项目根目录查找 tca-mcp.ini(绝对路径) -offset: 偏移量 -limit: 限制数量 -state: 查询任务状态, (0为等待中,1为执行中,2为关闭,3为入库中,4正在初始化, 5初始化完成 可多选,格式为1,2,3)
start_scan启动tca代码分析 参数如下: -mcpConfigFile: mcp配置文件路径,当前项目根目录查找 tca-mcp.ini(绝对路径) -incrScan: 是否增量扫描 -forceCreate: 如果已经存在扫描结果,是否强制启动新扫描
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
TCA_BASE_URLTCA_TOKEN"": "<TCA_TOKEN>",TCA_USER_NAME"": "<TCA_USER_NAME>"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
5/5 tools missing one or more hints — tca_issue_list (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); tca_issue_report (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); job_detail (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 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 handlers catch errors
4/5 tool handlers wrap calls in try/catch (80%)
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@1.12.1 (high), @modelcontextprotocol/sdk@1.12.1 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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